Research fellow jobs in Manchester, CT

Clinical Research Investigator DM Clinical Research, the largest privately-owned research management organization in the Houston area and one of the top 50 in the country, is looking for an Investigator for our sites in Hartford, CT. This individual will conduct all clinical trials (studies) according to ICH, GCP, local regulations, study protocols, and company processes. Responsibilities Ensures the medical well-being and safety of the participants through the safe performance and execution of the studies. Assists in maintaining clinical oversight and quality on the studies registered on and delivers on study targets, thereby contributing to the commercial success of the site. Reviews enrollment progress, pre-screening and screening success rates, screen failure rates, safety, and retention of participants. Interprets protocols and IB and participates in initiatives to strategize for patient recruitment. Carries out clinical evaluation and assessment of participants to ensure eligible participants are enrolled onto studies. Ensures and protects the welfare and safety of participants through ethical conduct. Fulfills and comply with all medical duties as per protocol, SOP/COP and ICH GCP and local regulations. Exercises meticulous attention to detail in documentation and patient care. Requirements Medical License (MD, DO) At least 2 years of experience as a Clinical Research Investigator. Spanish Bilingual a plus.

Behavioral Health Research Scientist Position specific details: This is a Health Research role where the successful hire will conduct data analysis, review and incorporation of relevant literature, collaborative project design, associated data collection activities including extracting and manipulating data, use statistical methods to analyze data and generate useful reports depicting trends in performance measures, conducting basic statistical analysis, report writing, and presenting results at committee meetings. This is not an IT role. Will also be responsible for understanding and assisting with updating performance measure methodology, including reporting and data requirements, and using quality improvement techniques to improve organizational and/or provider performance. Hybrid 1: This role requires associates to be in-office 1-2 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. The ideal candidate will be within a reasonable distance of our Rocky Hill, CT or Wallingford, CT office. Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law. The Health Research Scientist - Connecticut creates statistical models to predict, classify, quantify, and/or forecast behavioral health (BH) outcomes. business metrics. Design modeling studies to address specific issues determined by consultation with internal and external partners. How You Will Make an Impact: * Prepares analytical data sets based on Medicaid claims and authorization data in support of modeling studies. * Build, test, and validate statistical models. * Publishes results and address constraints/limitations with high level partners. * Proactively collaborates interdepartmentally to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Minimum Requirement: * Requires MS, MA, or PhD with concentration in a quantitative discipline such as statistics, cognitive science, economics, or operations research; a minimum of 3 years direct experience programming large, multi-source datasets with SAS required, and a minimum of 3 years in health care setting; or any combination of education and experience which would provide an equivalent background. Preferred Skills, Capabilities, and Experiences: * Experience in behavioral health, social studies, social work, psychiatry, or public health is strongly preferred. * Intermediate to Advanced expertise with software such as SAS, SAS Enterprise Miner, Tableau or equivalents strongly preferred. * Proven ability to design research studies and experience with data models, program evaluation, addressing data quality issues in study design, constructing robust and efficient analytical data sets strongly preferred. * Significant experience analyzing claims data strongly preferred. * The ability to present meaningful results to a business audience, to participate collaboratively in a team tasked to produce complex analyses on a rigorous schedule, to communicate with strong written and verbal communications skills, and to present to large multi-disciplinary audiences on a regular basis strongly preferred. * Healthcare/managed care/insurance experience preferred. * Experience with value-based payment models or attribution methodologies. Please be advised that Elevance Health only accepts resumes for compensation from agencies that have a signed agreement with Elevance Health. Any unsolicited resumes, including those submitted to hiring managers, are deemed to be the property of Elevance Health. Who We Are Elevance Health is a health company dedicated to improving lives and communities - and making healthcare simpler. We are a Fortune 25 company with a longstanding history in the healthcare industry, looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve. How We Work At Elevance Health, we are creating a culture that is designed to advance our strategy but will also lead to personal and professional growth for our associates. Our values and behaviors are the root of our culture. They are how we achieve our strategy, power our business outcomes and drive our shared success - for our consumers, our associates, our communities and our business. We offer a range of market-competitive total rewards that include merit increases, paid holidays, Paid Time Off, and incentive bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase plan, life insurance, wellness programs and financial education resources, to name a few. Elevance Health operates in a Hybrid Workforce Strategy. Unless specified as primarily virtual by the hiring manager, associates are required to work at an Elevance Health location at least once per week, and potentially several times per week. Specific requirements and expectations for time onsite will be discussed as part of the hiring process. The health of our associates and communities is a top priority for Elevance Health. We require all new candidates in certain patient/member-facing roles to become vaccinated against COVID-19 and Influenza. If you are not vaccinated, your offer will be rescinded unless you provide an acceptable explanation. Elevance Health will also follow all relevant federal, state and local laws. Elevance Health is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, genetic information, gender (including gender identity and gender expression), marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status or condition protected by applicable federal, state, or local laws. Applicants who require accommodation to participate in the job application process may contact ******************************************** for assistance. Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws, including, but not limited to, the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.

Behavioral Health Research Scientist Position specific details: This is a Health Research role where the successful hire will conduct data analysis, review and incorporation of relevant literature, collaborative project design, associated data collection activities including extracting and manipulating data, use statistical methods to analyze data and generate useful reports depicting trends in performance measures, conducting basic statistical analysis, report writing, and presenting results at committee meetings. This is not an IT role. Will also be responsible for understanding and assisting with updating performance measure methodology, including reporting and data requirements, and using quality improvement techniques to improve organizational and/or provider performance. Hybrid 1: This role requires associates to be in-office 1-2 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. The ideal candidate will be within a reasonable distance of our Rocky Hill, CT or Wallingford, CT office. Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law. The Health Research Scientist - Connecticut creates statistical models to predict, classify, quantify, and/or forecast behavioral health (BH) outcomes. business metrics. Design modeling studies to address specific issues determined by consultation with internal and external partners. How You Will Make an Impact: Prepares analytical data sets based on Medicaid claims and authorization data in support of modeling studies. Build, test, and validate statistical models. Publishes results and address constraints/limitations with high level partners. Proactively collaborates interdepartmentally to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Minimum Requirement: Requires MS, MA, or PhD with concentration in a quantitative discipline such as statistics, cognitive science, economics, or operations research; a minimum of 3 years direct experience programming large, multi-source datasets with SAS required, and a minimum of 3 years in health care setting; or any combination of education and experience which would provide an equivalent background. Preferred Skills, Capabilities, and Experiences: Experience in behavioral health, social studies, social work, psychiatry, or public health is strongly preferred. Intermediate to Advanced expertise with software such as SAS, SAS Enterprise Miner, Tableau or equivalents strongly preferred. Proven ability to design research studies and experience with data models, program evaluation, addressing data quality issues in study design, constructing robust and efficient analytical data sets strongly preferred. Significant experience analyzing claims data strongly preferred. The ability to present meaningful results to a business audience, to participate collaboratively in a team tasked to produce complex analyses on a rigorous schedule, to communicate with strong written and verbal communications skills, and to present to large multi-disciplinary audiences on a regular basis strongly preferred. Healthcare/managed care/insurance experience preferred. Experience with value-based payment models or attribution methodologies. Job Level: Non-Management Exempt Workshift: Job Family: RDA > Reporting & Data Analysis Please be advised that Elevance Health only accepts resumes for compensation from agencies that have a signed agreement with Elevance Health. Any unsolicited resumes, including those submitted to hiring managers, are deemed to be the property of Elevance Health. Who We Are Elevance Health is a health company dedicated to improving lives and communities - and making healthcare simpler. We are a Fortune 25 company with a longstanding history in the healthcare industry, looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve. How We Work At Elevance Health, we are creating a culture that is designed to advance our strategy but will also lead to personal and professional growth for our associates. Our values and behaviors are the root of our culture. They are how we achieve our strategy, power our business outcomes and drive our shared success - for our consumers, our associates, our communities and our business. We offer a range of market-competitive total rewards that include merit increases, paid holidays, Paid Time Off, and incentive bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase plan, life insurance, wellness programs and financial education resources, to name a few. Elevance Health operates in a Hybrid Workforce Strategy. Unless specified as primarily virtual by the hiring manager, associates are required to work at an Elevance Health location at least once per week, and potentially several times per week. Specific requirements and expectations for time onsite will be discussed as part of the hiring process. The health of our associates and communities is a top priority for Elevance Health. We require all new candidates in certain patient/member-facing roles to become vaccinated against COVID-19 and Influenza. If you are not vaccinated, your offer will be rescinded unless you provide an acceptable explanation. Elevance Health will also follow all relevant federal, state and local laws. Elevance Health is an Equal Employment Opportunity employer, and all qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, genetic information, gender (including gender identity and gender expression), marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status or condition protected by applicable federal, state, or local laws. Applicants who require accommodation to participate in the job application process may contact ******************************************** for assistance. Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws, including, but not limited to, the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.

Connecticut Children's is the only health system in Connecticut that is 100% dedicated to children. Established on a legacy that spans more than 100 years, Connecticut Children's offers personalized medical care in more than 30 pediatric specialties across Connecticut and in two other states. Our transformational growth establishes us as a destination for specialized medicine and enables us to reach more children in locations that are closer to home. Our breakthrough research, superior education and training, innovative community partnerships, and commitment to diversity, equity and inclusion provide a welcoming and inspiring environment for our patients, families and team members. At Connecticut Children's, treating children isn't just our job - it's our passion. As a leading children's health system experiencing steady growth, we're excited to expand our team with exceptional team members who share our vision of transforming children's health and well-being as one team. EDUCATION and/or EXPERIENCE REQUIRED Education Required: Graduate from accredited school of medicine required MD or DO Degree required LICENSE and/or CERTIFICATION REQUIRED * Must possess current unrestricted license to practice in the State of CT and must be maintained thereafter * DEA with Controlled Substance required and must be maintained thereafter * Board certified/board eligible in both Pediatrics and Medical Genetics. ROLE RESPONSIBILITIES * Thoroughly evaluate, diagnose, treat, and manage each patient's condition appropriately. * Identifies relevant medical issues accurately and use appropriate procedures and testing. * Documenting assessment findings, treatment recommendations and plan for continuing care in the clinical record. * Collaborate with physicians, clinicians, other agency providers, clinical support staff, and administrative staff in meeting patient and family needs. * Provide health promotion, education and counseling for patient/families related to medication, diagnosis, health issues and coping strategies. * Participate in the management of inter-disciplinary team issues that affect clinical care of patients. * Utilize quality improvement tools to develop processes that promote continuous improvement in delivery of patient care, patient outcomes, or work flows. * Participate in the identification and implementation of opportunities to enhance patient and family satisfaction. * Participate in pediatric clinical research into the genetic basis of inherited disorders and scholarly activities to promote the health and development of children. * Provide clinical teaching in genetics to a variety of learners, including medical students, residents and fellows. * Participate in efforts to ensure compliance with JCAHO standards and other applicable accreditation and regulatory standards. * Participate in peer review and quality assurance. * Perform other duties as assigned. * Academic appointments may be available with the University of Connecticut.

Position Description: The successful candidate will provide quantitative bioanalytical support using LC-MS/MS for a variety of high throughput in vitro ADME profiling assays. In this hands-on role, the candidate will perform sample analyses by mass spectrometry, and will review, interpret and report results. Instruments and software from various vendors including Sciex (Analyst) and Thermo (Excalibur) will be used along with custom internal data processing software to acquire data and process results. The successful candidate will also troubleshoot HPLC and MS instrumentation as necessary. Position Requirements: BS or MS in chemistry, with specialization in analytical chemistry preferred, along with 1 to 5 years of relevant pharmaceutical experience is required. Training or experience in mass spectrometry and separation science, as well as hands-on experience in quantitative LC-MS/MS analysis are desired. Proficiency in general computer software, including vendor specific instrument control and analysis tools, is required. Strong interpersonal and communication skills, both oral and written, are required as is commitment to working as a team player within a multifunctional organization. A working knowledge of allied disciplines such as computer science, lab automation, drug metabolism, pharmacokinetics and synthetic chemistry is helpful. Qualifications The successful candidate will also troubleshoot HPLC and MS instrumentation as necessary. LC-MS/MS analysis BS or MS in chemistry Additional Information Thanks & Regards Riya ************

**About the Role & Program** The ESPN Research team is part of the Finance, Strategy and Research organization. The team utilizes all facets of media research (Nielsen, Adobe Analytics, Comscore/Shareablee, etc.) and primary research to inform the company about how the sports category, sports fandom, and specific sports content is performing, and how ESPN can drive even greater consumption in the future. **The dates of this internship are June 8, 2026 - August 14, 2026, located in ESPN's headquarters in Bristol, CT.** **What You Will Do** As an intern, you will participate in the collection, analysis, and communication of audience data for ESPN's linear, digital, streaming, and social media properties. The focus for this internship will be digital and social sports, both on ESPN.com, ESPN App and ESPN Social platforms. The intern will be charged with providing actionable insights to ESPN's Digital, Social & Streaming Content department, Corporate Strategy, Marketing, and other core constituents. Responsibilities include: + Using Comscore/Shareablee software to query data for digital/social properties and programs + Aiding in data analysis for ESPN and competitive content across ESPN digital, social, and streaming + Working on research projects, including team/player social analysis, social listening, and fan community activities covering ESPN sports properties **Required Qualifications & Skills** + Experience using Microsoft Office with a strong emphasis in Microsoft Excel and PowerPoint + Comfortable working with data and high attention to detail + Eager to learn new tools and data organization processes + Strong interest in television content and the media landscape **Preferred Qualifications & Skills** + Demonstrated knowledge of sports and the sports media landscape + Previous experience in media and entertainment (academic or internship) **Education** + Junior or Senior year preferred + Major or previous coursework in Business Administration, Finance or related major preferred **Eligibility Requirements & Program Information** **Candidates for this opportunity MUST meet all of the below requirements:** + Be enrolled in an accredited college/university pursuing a degree taking at least one class at time of application OR currently participating in a Disney College Program or Disney Internship + Current Disney Interns, College, International, or Culinary Program Participants: You may only work for ONE consecutive year (12 months) in any combination of an internship and/or program + Be at least 18 years of age + Possess unrestricted work authorization **Additional Information** + Able to have a consistent, reliable work schedule throughout the internship + Fully available Monday through Friday for the duration of the internship, 40 hours each week + Able to provide own housing for the duration of the internship program in the **Bristol, CT** area + Able to provide/have reliable transportation to/from work The pay rate for this role in Connecticut is $22.50 per hour. Select benefits may be provided as part of the compensation package, such as medical, financial, and/or other benefits, dependent on the level and position offered. To learn more about our benefits visit: **************************************** **Job ID:** 10134504 **Location:** Bristol,Connecticut **Job Posting Company:** ESPN ESPN Productions, Inc. is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.

Under the direction of Dr. Tsampikos Kottos, the Research Scientist will be working on the research effort on “AI-Guided Self-Organization: Tailoring Disorder to Shape Complex Nonlinear Dynamics”. The project aims to combine modern machine learning with physical insight and high-throughput automated experiments to enable unprecedented AI-assisted design and control of complex self-organization. Guided by studies with universal physical models, the effort will develop new techniques for physics-guided inverse design and control. The theoretical activity will be complemented with experimental proof-of-principle concepts using networks of electronic oscillators. These will function as a training and testing ground to enable universal techniques for AI-based design and control of complex systems. Responsibilities include: Supervise graduate and undergraduate students Manuscript preparation and editing and conference presentations. Assisting in grant preparation and grant applications Other duties as assigned This is an on-campus position and the position is approved for two years with the potential to extend another year. Information about the WTICS group can be found at ************************************ Minimum Qualifications PhD in Physics, Applied Mathematics, Electrical or Mechanical Engineering or related field. Knowledge of theory of metamaterials. Knowledge of coupled mode theory. Knowledge of nonlinear dynamics. Knowledge of machine learning. Preferred Qualifications Experience in developing proof-of-principle RF and microwave experimental platforms that allow validation of the theoretical concepts. Demonstrated commitment to work within a diverse environment and interact openly with individuals of different backgrounds. Position is open until filled. As part of your application, please upload a cover letter and resume. Compensation: $61,300.00 - $66,800.00Work Location: On Campus All offers to external applicants are contingent on the candidate's completion of a pre-employment background check screening to the satisfaction of Wesleyan University. Wesleyan University, located in Middletown, Connecticut, does not discriminate on the basis of race, color, religious creed, age, gender, gender identity or expression, national origin, marital status, ancestry, present or past history of mental disorder, learning disability or physical disability, political belief, veteran status, sexual orientation, genetic information or non-position-related criminal record. We welcome applications from women and historically underrepresented minority groups. Inquiries regarding Title IX, Section 504 or any other non-discrimination policies should be directed to Vice President for Equity and Inclusion, Title IX and ADA/504 Coordinator. Wesleyan University complies with the Clery Act and maintains records of campus crime statistics and security policies. Copies of Wesleyan University's Clery Act Report are available on request and online at ************************************************* Experience is taken into consideration in the determination of salary offers. For more information visit ********************************************************************** Wesleyan offers a broad range of employee benefits and development opportunities, including comprehensive group insurance plans, wellness programs and incentives, generous paid time off and retirement plans, flexible work schedules, employee and dependent tuition programs for those who qualify. Detailed information on the benefits of working at Wesleyan is located at: ***********************************************************

INTRODUCTION The School of Business at the University of Connecticut (UConn) seeks applications for a one-year Postdoctoral Researcher appointment with expertise in real estate economics and/or real estate finance. The position may be renewable for up to an additional two years, depending on annual performance and funding availability. The position will have a start date of January 15, 2026, or as soon as possible thereafter, and will be based in person at the Storrs, Connecticut campus. The position is completely research-focused with the goal to produce academic research that will lead to publication in high-quality real estate (e.g., Journal of Urban Economics, Real Estate Economics, Journal of Real Estate Finance and Economics) or related journals (e.g., Journal of Regional Science, Regional Science and Urban Economics). Research that leads to publication in high-quality business field journals such as finance, accounting, economics, or management is also strongly encouraged (e.g., American Economic Review, Journal of Finance, Journal of Financial Economics, Review of Financial Studies, Journal of Accounting and Economics, Management Science). In addition, the position will entail participation in research grant funding proposal preparation and grant-related activities. There are no teaching responsibilities with this position. The School of Business offers numerous master's and doctoral programs, including MBA programs, a number of specialized master's programs, and a full-time Ph.D. program. It also offers a broad set of undergraduate majors. In addition to its current research portfolio, the School is developing strengths in its healthcare administration and insurance groups, both important for the economy of the State of Connecticut and Next Generation Connecticut. The School houses six research centers/programs focused on Real Estate, Health Care, Data Analytics, Innovation and Entrepreneurship, and Economic Analysis. MINIMUM QUALIFICATIONS Earned Ph.D. in real estate or a traditional academic field related to real estate. Evidence of progress toward high-quality publications, such as submitted manuscripts under review at top-tier economics, finance, and/or real estate journals, and past research seminar(s) or national/international peer-reviewed conference presentation(s) experience. Experience developing independent research ideas, demonstrated through working papers or leading components of collaborative projects. Evidence of potential to contribute to external funding activities, such as current or past involvement in proposal preparation or reference letter(s) describing relevant qualifications. The desire and ability to work in a collaborative and dynamic environment with a diverse team, as evidenced by prior experience participating in preparing and revising academic papers for publication consideration in peer-reviewed journals. Written and oral communication skills, shown through working papers or publications, and presentations. Demonstrated experience working effectively in a diverse environment. Experience with statistical software, including Stata, R, Python, and/or MATLAB. PREFERRED QUALIFICATIONS Prior research publication(s) and/or forthcoming publication(s) in top finance, economics, and/or real estate journal(s). Revise-and-resubmit request(s) for articles submitted to top finance, economics, and/or real estate journal(s). Prior experience with external funding, such as submitting proposals, drafting proposal sections, assisting with data preparation, and/or supporting faculty-led submissions. APPOINTMENT TERMS The expected start date for this appointment is January 15, 2026, or as soon as possible thereafter. This Postdoctoral Research Associate position is a full-time, 12-month appointment that may be renewable for up to two additional academic years. The position includes full benefits (https://hr.uconn.edu/employee-benefits-overview/). The salary for this position is in the range of $70,000 to $75,000. TERMS AND CONDITIONS OF EMPLOYMENT Employment of the successful candidate is contingent upon the successful completion of a pre-employment criminal background check. TO APPLY Please apply online at https://hr.uconn.edu/jobs, Faculty and Staff Positions, Search #499201, and upload the following: Letter of interest Curriculum vitae (including PhD university, major, dissertation title, chairperson, and date of degree) Statement of research interests and activity Commitment to diversity statement Three professional references (letters to be submitted online by reference writers) This position will remain open till filled, with preference given to applications submitted prior to November 10, 2025. For more information regarding the Center for Real Estate and Urban Economics, please visit the department website at https://realestate.business.uconn.edu/. For more information about the Department of Finance, please visit https://finance.business.uconn.edu/. Inquiries other than applications can be directed to Blaine Aponte at blaine.aponte@uconn.edu. This position will be filled subject to budgetary approval. All employees are subject to adherence to the State Code of Ethics which may be found at https://portal.ct.gov/Ethics/Statutes-and-Regulations. All members of the University of Connecticut are expected to exhibit appreciation of, and contribute to, an inclusive, respectful, and diverse environment for the University community. The University of Connecticut aspires to create a community built on collaboration and belonging and has actively sought to create an inclusive culture within the workforce. The success of the University is dependent on the willingness of our diverse employee and student populations to share their rich perspectives and backgrounds in a respectful manner. This makes it essential for each member of our community to feel secure and welcomed and to thoroughly understand and believe that their ideas are respected by all. We strongly respect each individual employee's unique experiences and perspectives and encourage all members of the community to do the same. All applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The University of Connecticut is an AA/EEO Employer.

Conduct experiments to map cellular architecture in a wide range of tissue samples with our novel multi-omics spatial profiling platform. Contribute to the development and standardization of new SOPs for novel tissues and new omics chemistries. Design and conduct studies to optimize the performance and throughput of our spatial multi-omics platform. Organize and communicate data with internal and external groups. Assist in laboratory duties, including reagent preparation, instrument and inventory maintenance, and implementation of 5S practices. Responsibilities * Conduct experiments to map cellular architecture in various tissue samples using our multi-omics spatial profiling platform. * Develop and standardize new SOPs for novel tissues and omics chemistries. * Design and conduct studies to optimize the performance and throughput of our spatial multi-omics platform. * Organize and communicate data with internal and external groups. * Assist in laboratory duties, including reagent preparation, instrument and inventory maintenance, and implementation of 5S practices. Additional Skills & Qualifications * B.S. or M.S. in molecular biology, biochemistry, genetics, or related field with 1-3 years of industry experience. * Experience in tissue processing, histological slide preparation, and immunohistochemical and immunofluorescent staining in mammalian tissues. * Knowledge of a broad range of cellular, functional, IHC and/or pathology applications and imaging instrumentation. * Deep experience with molecular biology and microscopy techniques including qPCR and NGS library preparation. * Excellent communication skills, adaptive in interfacing between biologists, engineers, and other disciplines. * Ability to work full-time, on-site in New Haven, CT. Work Environment This position is based in a laboratory setting, working from 9am to 5pm on-site in New Haven, CT. The role involves collaborating closely with a multidisciplinary team of biologists, chemists, physicists, computer scientists, and engineers. Pay and Benefits The pay range for this position is $24.00 - $38.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: * Medical, dental & vision * Critical Illness, Accident, and Hospital * 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available * Life Insurance (Voluntary Life & AD&D for the employee and dependents) * Short and long-term disability * Health Spending Account (HSA) * Transportation benefits * Employee Assistance Program * Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in New Haven,CT. Application Deadline This position is anticipated to close on May 9, 2025. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options.

At Real we're always looking for new and ambitious people to help deliver exceptional service levels, change the lives of the candidates we represent and partner with some of the world's best pharmaceutical, biotechnology and medical companies. As specialists in recognizing talent we pride ourselves on not just finding the best people for our client partners but on our ability to spot the best and brightest talent to work for us. We are also renowned for providing training and long-term career opportunities to help our employees be the best they can be, so they can continue to deliver the expertise Real has become famous for. Relationships are at the heart of everything we do and ensure that our clients and candidates continue to work with us again and again. This ethos is also what shapes how we work as a business. We encourage and reward knowledge sharing and have various support networks and international forums to enable our employees to keep up-to-date with changes happening across their industries and share local insight to deliver true global perspectives. Job Description KEY FEATURES: Description: • Work as part of a project team to generate genetically modified human transformed and induced pluripotent stem cell lines. • Will summarize data and provide updates to supervisor and other team members. • In addition, will contribute to the development of new processes and methodologies that will improve the productivity and scientific impact of the working group. Qualifications SKILLS AND QUALITIES • General Molecular Biology techniques such as genomic and plasmid DNA isolation, RNA isolation, gel electrophoresis, end point and qPCR, and DNA cloning. • Cell culture experience, cell line and/or iPS cells. • Good communication, organizational, record keeping and computer literacy skills needed. • Team oriented with a flexible approach to goal delivery. • Excellent written and verbal communication skills. • Candidate must be willing to work with human cell lines, both transformed and pluripotent stem cells including human embryonic stem cells. Additional Information All your information will be kept confidential according to EEO guidelines. IF THIS IS THE JOB OPPORTUNITY FOR YOU GIVE ME A CALL AT 646-357-1104 ASAP! I want to know more about your preferences. If in case you know someone who might be interested for this, feel free to pass it along. I look forward to hearing from you!

Artech is the 10th Largest IT Staffing Company in the US, according to Staffing Industry Analysts' 2012 annual report. Artech provides technical expertise to fill gaps in clients' immediate skill-sets availability, deliver emerging technology skill-sets, refresh existing skill base, allow for flexibility in project planning and execution phases, and provide budgeting/financial flexibility by offering contingent labor as a variable cost. Job Description • Screening support to produce ADME in vitro data in support of driving discovery efforts within Company's WRD. • The position includes performing biological assays using automation technologies to generate ADME endpoint data. • Additionally, bio analytical analysis of this data will be a key aspect of the role. The position is in a highly matrixed group and teamwork is essential. • E ssential Duties and Responsibilities: ADME Assays: Perform biological incubations with test compounds in plate formats with ADME-specific reagents and liquid handling equipment. • Takes raw analytical results and determines ADME endpoint data using IT systems. • Other Duties: Cell culturing, reagent bank support (inventory, and fulfilling orders), lab infrastructure maintenance. Qualifications Minimum Background and Experience: • Educational background: Bachelor degree or equivalent in biology, chemistry, biochemistry, or related disciplines; • Excellent oral and written communication skills required. • Computer skills required: Microsoft Word, Excel, Outlook. • E xperience with automated liquid handling systems a plus, but not required. • Experience in an industrial lab where data is produced on a recurring basis is a plus, but not required. Additional Information For more information, please contact, Sneha Shrivastava **********

About Us Bexorg is a cutting-edge biotech startup focused on CNS drug discovery, leveraging its proprietary BrainEx platform to conduct preclinical studies on human and porcine brains. We combine advanced wet-lab experiments with AI/ML-driven drug discovery through our XO Digital platform to revolutionize the understanding and treatment of brain disorders. We are seeking a Computational Biologist to develop and optimize computational pipelines to process and analyze complex, multi-modal datasets. You will play a critical role in extracting actionable insights from our proprietary datasets and enable downstream AI models to more accurately capture human brain complexity. Essential Duties/Tasks: ● Data Integration & Pipeline Development: Design, implement, and optimize computational pipelines for processing high-throughput, multi-modal biological data. ● Multi-Modal Analysis: Integrate diverse datasets to produce spatially and temporally resolved profiles of brain biology. ● Collaborative Research: Work closely with experimental biologists, engineers, to translate data findings into actionable insights for drug discovery and development ● Statistical & Machine Learning Methods: Develop and apply statistical models and machine learning approaches to interrogate and visualize complex biological data. ● Quality Control & Scalability: Ensure robust data quality, reproducibility, and scalability across large datasets. ● Scientific Communication: Present research findings in internal meetings, conferences, and contribute to peer-reviewed publications. Qualifications: ● PhD in Bioinformatics, Computational Biology, or a related field with clearly relevant computational projects ● Demonstrated experience with multi-omics data analysis, ideally within a neurological or biomedical context. ● Experience with RNAseq technologies, including sc/sn RNAseq ● Proficiency in programming languages such as Python and R, with hands-on experience using standard bioinformatics tools. ● Strong background in developing scalable computational workflows and data integration strategies. ● Experience with high-performance computing or cloud-based data processing. ● Excellent problem-solving skills, with the ability to work collaboratively in a multidisciplinary environment. Preferred Qualifications: ● Prior work in neurobiology or neurological disease research. ● A strong publication record in peer-reviewed scientific journals. ● Familiarity with advanced visualization techniques and data management best practices. What We Offer: ● Opportunity to work at the forefront of neuroscience and drug discovery. ● Collaborative work environment with a multidisciplinary team. ● Competitive compensation package including stock options. ● Career growth opportunities in a rapidly scaling company.

INTRODUCTION The School of Business at the University of Connecticut (UConn) seeks applications for a one-year Postdoctoral Researcher appointment with expertise in real estate economics and/or real estate finance. The position may be renewable for up to an additional two years, depending on annual performance and funding availability. The position will have a start date of January 15, 2026, or as soon as possible thereafter, and will be based in person at the Storrs, Connecticut campus. The position is completely research-focused with the goal to produce academic research that will lead to publication in high-quality real estate (e.g., Journal of Urban Economics, Real Estate Economics, Journal of Real Estate Finance and Economics) or related journals (e.g., Journal of Regional Science, Regional Science and Urban Economics). Research that leads to publication in high-quality business field journals such as finance, accounting, economics, or management is also strongly encouraged (e.g., American Economic Review, Journal of Finance, Journal of Financial Economics, Review of Financial Studies, Journal of Accounting and Economics, Management Science). In addition, the position will entail participation in research grant funding proposal preparation and grant-related activities. There are no teaching responsibilities with this position. The School of Business offers numerous master's and doctoral programs, including MBA programs, a number of specialized master's programs, and a full-time Ph.D. program. It also offers a broad set of undergraduate majors. In addition to its current research portfolio, the School is developing strengths in its healthcare administration and insurance groups, both important for the economy of the State of Connecticut and Next Generation Connecticut. The School houses six research centers/programs focused on Real Estate, Health Care, Data Analytics, Innovation and Entrepreneurship, and Economic Analysis. MINIMUM QUALIFICATIONS * Earned Ph.D. in real estate or a traditional academic field related to real estate. * Evidence of progress toward high-quality publications, such as submitted manuscripts under review at top-tier economics, finance, and/or real estate journals, and past research seminar(s) or national/international peer-reviewed conference presentation(s) experience. * Experience developing independent research ideas, demonstrated through working papers or leading components of collaborative projects. * Evidence of potential to contribute to external funding activities, such as current or past involvement in proposal preparation or reference letter(s) describing relevant qualifications. * The desire and ability to work in a collaborative and dynamic environment with a diverse team, as evidenced by prior experience participating in preparing and revising academic papers for publication consideration in peer-reviewed journals. * Written and oral communication skills, shown through working papers or publications, and presentations. * Demonstrated experience working effectively in a diverse environment. * Experience with statistical software, including Stata, R, Python, and/or MATLAB. PREFERRED QUALIFICATIONS * Prior research publication(s) and/or forthcoming publication(s) in top finance, economics, and/or real estate journal(s). * Revise-and-resubmit request(s) for articles submitted to top finance, economics, and/or real estate journal(s). * Prior experience with external funding, such as submitting proposals, drafting proposal sections, assisting with data preparation, and/or supporting faculty-led submissions. APPOINTMENT TERMS The expected start date for this appointment is January 15, 2026, or as soon as possible thereafter. This Postdoctoral Research Associate position is a full-time, 12-month appointment that may be renewable for up to two additional academic years. The position includes full benefits (************************************************** The salary for this position is in the range of $70,000 to $75,000. TERMS AND CONDITIONS OF EMPLOYMENT Employment of the successful candidate is contingent upon the successful completion of a pre-employment criminal background check. TO APPLY Please apply online at ************************** Faculty and Staff Positions, Search #499201, and upload the following: * Letter of interest * Curriculum vitae (including PhD university, major, dissertation title, chairperson, and date of degree) * Statement of research interests and activity * Commitment to diversity statement * Three professional references (letters to be submitted online by reference writers) This position will remain open till filled, with preference given to applications submitted prior to November 10, 2025. For more information regarding the Center for Real Estate and Urban Economics, please visit the department website at *************************************** For more information about the Department of Finance, please visit ************************************ Inquiries other than applications can be directed to Blaine Aponte at ***********************. This position will be filled subject to budgetary approval. All employees are subject to adherence to the State Code of Ethics which may be found at ****************************************************** All members of the University of Connecticut are expected to exhibit appreciation of, and contribute to, an inclusive, respectful, and diverse environment for the University community. The University of Connecticut aspires to create a community built on collaboration and belonging and has actively sought to create an inclusive culture within the workforce. The success of the University is dependent on the willingness of our diverse employee and student populations to share their rich perspectives and backgrounds in a respectful manner. This makes it essential for each member of our community to feel secure and welcomed and to thoroughly understand and believe that their ideas are respected by all. We strongly respect each individual employee's unique experiences and perspectives and encourage all members of the community to do the same. All applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The University of Connecticut is an AA/EEO Employer.

Reality Labs at Meta is seeking Research Scientists with experience in product-focused machine learning and signal processing research to advance our pioneering work in neuromotor interfaces, which has grown out of the acquisition of CTRL-labs. We're building a practical interface drawing on the rich neuromotor signals that can be measured non-invasively via surface electromyography (EMG) with single motor neuron resolution. This technology could become one of the main pillars for interaction with virtual and augmented worlds.We are a multi-disciplinary team of researchers investigating the nature of human neuromotor signals, developing novel signal processing and machine learning methods to infer a user's intent, and creating novel interaction techniques and user experiences. Help us unleash human potential by removing the bottlenecks between user intent and action. **Required Skills:** Research Scientist - CTRL Labs Responsibilities: 1. Research and develop Deep Learning or other computational models 2. Design methods, tools and infrastructure to analyze and leverage rich multimodal data sets 3. Set technical direction for a project of 2-3 researchers and engineers 4. Help transition and deliver our work from research into product 5. Adapt standard machine learning methods to best leverage modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU) **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. Ph.D. degree in Computer Science and Engineering, Electrical Engineering, Statistics/Mathematics 8. Experience with developing machine learning models at scale from inception to business impact 9. Programming experience in Python and hands-on experience with frameworks such as PyTorch 10. Exposure to architectural patterns of large scale software applications 11. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 12. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL, and ICASSP) 13. Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) 14. Experience bringing machine learning-based products from research to production **Public Compensation:** $177,000/year to $251,000/year + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

The Pediatric Geneticist is primarily responsible for providing medical care to patients with suspected genetic disorders including congenital anomalies, connective tissue disorders, skeletal dysplasia, neurodevelopmental disorders and metabolic diseases in both inpatient and outpatient settings. The Pediatric Geneticist will work with a multi-disciplinary team of physicians, genetic counselors, nutritionists and support staff to provide high quality care specific to the needs of each patient. EDUCATION and/or EXPERIENCE REQUIRED Education Required: Graduate from accredited school of medicine required MD or DO Degree required LICENSE and/or CERTIFICATION REQUIRED • Must possess current unrestricted license to practice in the State of CT and must be maintained thereafter • DEA with Controlled Substance required and must be maintained thereafter • Board certified/board eligible in both Pediatrics and Medical Genetics. ROLE RESPONSIBILITIES • Thoroughly evaluate, diagnose, treat, and manage each patient's condition appropriately. • Identifies relevant medical issues accurately and use appropriate procedures and testing. • Documenting assessment findings, treatment recommendations and plan for continuing care in the clinical record. • Collaborate with physicians, clinicians, other agency providers, clinical support staff, and administrative staff in meeting patient and family needs. • Provide health promotion, education and counseling for patient/families related to medication, diagnosis, health issues and coping strategies. •Participate in the management of inter-disciplinary team issues that affect clinical care of patients. • Utilize quality improvement tools to develop processes that promote continuous improvement in delivery of patient care, patient outcomes, or work flows. • Participate in the identification and implementation of opportunities to enhance patient and family satisfaction. • Participate in pediatric clinical research into the genetic basis of inherited disorders and scholarly activities to promote the health and development of children. • Provide clinical teaching in genetics to a variety of learners, including medical students, residents and fellows. • Participate in efforts to ensure compliance with JCAHO standards and other applicable accreditation and regulatory standards. • Participate in peer review and quality assurance. • Perform other duties as assigned. • Academic appointments may be available with the University of Connecticut.

The Physiological Acoustics Lab (http://escabilab.uconn.edu) at the University of Connecticut seeks applicants for a postdoctoral position in systems and computational neuroscience. DUTIES AND RESPONSIBILITIES We are seeking highly motivated and creative applicants who can lead a project on Misophonia, a psychological and behavioral disorder in which individuals experience adverse emotional reactions to specific sounds (“auditory triggers”). The broad project goal is to develop computational models of hearing and perception that are fitted to human perceptual measurements and that can be used to characterize and diagnose misophonia. The models will also be used to develop sound processing tools to remove and de-emphasize auditory triggers (e.g., with headphones) and improve participant outcomes. The project will use a variety of approaches, including human perceptual experiments, machine learning, digital signal processing, and computational models of hearing. UConn has a vibrant neuroscience community, and there are opportunities for collaboration between departments, institutes, and Universities involved in the project. The primary appointment is in Biomedical Engineering and/or Electrical Engineering. The work will be conducted in collaboration with the Behavioral Neuroscience program in the Psychological Sciences department (Ian Stevenson), the Electrical and Computer Engineering/Biomedical Engineering departments at the University of Connecticut (Monty Escabí), and the Connecticut Institute for Brain and Cognitive Sciences. MINIMUM QUALIFICATIONS A PhD in Neuroscience, Biomedical Engineering, Computational Neuroscience, or a related field is required. Experience with experimental design, data analysis, and/or modeling. PREFERRED QUALIFICATIONS Previous experience, education, or general proven knowledge in hearing or speech and language sciences. Interdisciplinary research experience in computational and systems neuroscience with prior research experience in human behavior, animal behavior and/or brain physiology. A strong analytic background, particularly in modeling neural systems and analyzing large datasets. Experience with acoustic signal processing, sound recognition, and machine learning. APPOINTMENT TERMS This is a full-time, 12-month position funded through the Misophonia Research Fund on a yearly basis. Salaries follow the post-doctoral scale and are based on experience. TERMS AND CONDITIONS OF EMPLOYMENT Employment of the successful candidate is contingent upon the successful completion of a pre-employment criminal background check. TO APPLY Please apply online at https://hr.uconn.edu/jobs, Staff Positions, Search #499299 to upload a single PDF file containing: a resume (including past research experience and published work), a one-page statement of prior research experience, a one-page statement of future research interests and objectives, and the names and contact information of at least two individuals who can provide reference letters. All employees are subject to adherence to the State Code of Ethics which may be found at https://portal.ct.gov/Ethics/Statutes-and-Regulations. All members of the University of Connecticut are expected to exhibit appreciation of, and contribute to, an inclusive, respectful, and diverse environment for the University community. The University of Connecticut aspires to create a community built on collaboration and belonging and has actively sought to create an inclusive culture within the workforce. The success of the University is dependent on the willingness of our diverse employee and student populations to share their rich perspectives and backgrounds in a respectful manner. This makes it essential for each member of our community to feel secure and welcomed and to thoroughly understand and believe that their ideas are respected by all. We strongly respect each individual employee's unique experiences and perspectives and encourage all members of the community to do the same. All applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The University of Connecticut is an AA/EEO Employer.

At Real we're always looking for new and ambitious people to help deliver exceptional service levels, change the lives of the candidates we represent and partner with some of the world's best pharmaceutical, biotechnology and medical companies. As specialists in recognizing talent we pride ourselves on not just finding the best people for our client partners but on our ability to spot the best and brightest talent to work for us. We are also renowned for providing training and long-term career opportunities to help our employees be the best they can be, so they can continue to deliver the expertise Real has become famous for. Relationships are at the heart of everything we do and ensure that our clients and candidates continue to work with us again and again. This ethos is also what shapes how we work as a business. We encourage and reward knowledge sharing and have various support networks and international forums to enable our employees to keep up-to-date with changes happening across their industries and share local insight to deliver true global perspectives. Job Description KEY FEATURES: Description: • Work as part of a project team to generate genetically modified human transformed and induced pluripotent stem cell lines. • Will summarize data and provide updates to supervisor and other team members. • In addition, will contribute to the development of new processes and methodologies that will improve the productivity and scientific impact of the working group. Qualifications SKILLS AND QUALITIES • General Molecular Biology techniques such as genomic and plasmid DNA isolation, RNA isolation, gel electrophoresis, end point and qPCR, and DNA cloning. • Cell culture experience, cell line and/or iPS cells. • Good communication, organizational, record keeping and computer literacy skills needed. • Team oriented with a flexible approach to goal delivery. • Excellent written and verbal communication skills. • Candidate must be willing to work with human cell lines, both transformed and pluripotent stem cells including human embryonic stem cells. Additional Information All your information will be kept confidential according to EEO guidelines. IF THIS IS THE JOB OPPORTUNITY FOR YOU GIVE ME A CALL AT 646-357-1104 ASAP! I want to know more about your preferences. If in case you know someone who might be interested for this, feel free to pass it along. I look forward to hearing from you!

The Department of Marine Sciences at the University of Connecticut invites applications for a Postdoctoral Research Associate to join an interdisciplinary project at the forefront of climate-fishery research. The Postdoctoral Research Associate will contribute to an interdisciplinary project focused on enhancing the adaptive capacity of the Atlantic Sea Scallop (Placopecten magellanicus) fishery under changing ocean conditions. The Atlantic Sea Scallop fishery is one of the most economically valuable in the United States, with annual landings exceeding $500 million. However, increasing vulnerability to ocean acidification (OA), ocean warming (OW), and extreme temperature events poses significant challenges to scallop growth, reproduction, and long-term fishery sustainability. This project aims to transform the way environmental and social data are integrated into fisheries management by combining advanced ocean forecasting, species-specific modeling, and social science to develop adaptive strategies that enhance both ecological and fishing community resilience. The successful candidate will lead efforts to couple a regional MOM6 Northwest Atlantic seasonal ocean forecast with an existing Dynamic Energy Budget (DEB) model for sea scallops to produce seasonal forecasts of scallop growth and mortality. The postdoctoral researcher will also evaluate the predictive skill of oceanographic variables (e.g., temperature, oxygen, and pCO₂) relevant to scallop growth and assess their potential for informing fishery management decisions. This position will involve close collaboration with oceanographers, ecosystem modelers, social scientists, and fisheries stakeholders. The position offers significant opportunities to contribute to ecological forecasting, advance the integration of environmental models into fishery management, and engage directly with stakeholders and policymakers, including the New England Fishery Management Council (NEFMC). This position provides the opportunity to conduct high-impact research at the interface of oceanography and fisheries management, with direct pathways to inform policy. The postdoc will gain experience in state-of-the-art ocean forecasting, ecological modeling, and co-production of knowledge with stakeholders-skills that are increasingly sought after in academia, government, and applied research careers. The project emphasizes strong mentorship, interdisciplinary collaboration, and professional development, ensuring that the candidate will be well-positioned for a successful independent career. The University of Connecticut was established in 1881, is the state university of Connecticut, educating more than 32,000 students and is one of the nation's top 25 public universities in the nation. As a Land and Sea Grant University, UConn has deep roots in the state's economy. The University spans over 4000 acres in Connecticut, including 4 regional campuses. The Avery Point regional campus was established in 1967 and is just a short drive from both New York City and Boston. The Department of Marine Sciences is located on the Avery Point Campus in Groton, Connecticut right on the waters of Long Island Sound. Our program offers the intimacy and support of a small campus, coupled with the resources of a top-notch public university and internationally renowned scientists. Visit the department website (********************************** for more information. DUTIES AND RESPONSIBILITIES * Develop and implement coupled MOM6-DEB forecasts of scallop growth and mortality in rotational management areas. * Evaluate the skill of oceanographic forecasts for environmental variables influencing scallop physiology. * Collaborate with a multidisciplinary team of oceanographers, ecosystem modelers, social scientists, and industry partners. * Contribute to workshops, stakeholder engagement, and communication of results to management agencies and fishing communities. * Prepare peer-reviewed publications, conference presentations, and project reports. MINIMUM QUALIFICATIONS * Ph.D. in oceanography, marine science, fisheries science, climate science, or a closely related discipline by the start of appointment. * Demonstrated experience with numerical modeling, ocean forecasting, or biophysical coupling. * Experience with ocean biogeochemical cycling, including carbon, oxygen, and nutrient cycles, through courses or research experience. * Experience in scientific programming (e.g., Python, R, MATLAB, or Fortran). * Experience communicating clearly and effectively in written and oral formats. * Demonstrated experience with or ability to pursue research independently. PREFERRED QUALIFICATIONS * Experience with Earth system or regional ocean models (e.g., MOM6, ROMS) and/or Dynamic Energy Budget modeling. * Demonstrated experience working in interdisciplinary and collaborative research settings. * Experience with engaged research. * Experience with fisheries science, ecological forecasting, or decision-support tool development. * Publications related to the minimum qualifications (e.g., oceanography, marine sciences, fisheries, science, climate science, etc.). * Research experience with forecasts or projections. APPOINTMENT TERMS This is a full-time, end-dated position with the possibility of renewal subject to performance and funding. This project includes postdoctoral salary support for up to three years, pending satisfactory progress and performance, and availability of funding. Start date is flexible, with the preferred appointment start date in early 2026, but employees requesting a later start date will be considered. The University offers a competitive salary and outstanding benefits, including employee and dependent tuition waivers at UConn, and access to employer-sponsored retirement plans with matching funds. Salary will be commensurate with experience and is expected to be based on the National Research Service Award (NRSA) Post Doctoral Fellow stipend scale, which is available on the UConn website. Anticipated initial annual salary for a person with no prior postdoctoral experience is $62,232. Postdoctoral Research Associates employed at UConn are represented by the UConn Graduate Employee and Postdoc Union (GEU-UAW Local 6950). Other rights and terms and conditions of the appointment are contained in the collective bargaining agreement between the University of Connecticut and the GEU-UAW Local 6950. TERMS AND CONDITIONS OF EMPLOYMENT Employment of the successful candidate is contingent upon the successful completion of a pre-employment criminal background check. TO APPLY Please apply online at UConn Jobs, *********************** Staff Positions, Search #499267, and upload a single PDF document that includes a one-page statement of research interests and relevant experience, a current CV, and contact information for three references. Information about the Coastal Biogeochemical Dynamics Lab here: ********************************************************* Review of applications will begin November 15, 2025, and continue until the position is filled. All employees are subject to adherence to the State Code of Ethics which may be found at ****************************************************** All members of the University of Connecticut are expected to exhibit appreciation of, and contribute to, an inclusive, respectful, and diverse environment for the University community. The University of Connecticut aspires to create a community built on collaboration and belonging and has actively sought to create an inclusive culture within the workforce. The success of the University is dependent on the willingness of our diverse employee and student populations to share their rich perspectives and backgrounds in a respectful manner. This makes it essential for each member of our community to feel secure and welcomed and to thoroughly understand and believe that their ideas are respected by all. We strongly respect each individual employee's unique experiences and perspectives and encourage all members of the community to do the same. All applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The University of Connecticut is an AA/EEO Employer.

The Physiological Acoustics Lab (*************************** at the University of Connecticut seeks applicants for a postdoctoral position in systems and computational neuroscience. DUTIES AND RESPONSIBILITIES We are seeking highly motivated and creative applicants who can lead a project on Misophonia, a psychological and behavioral disorder in which individuals experience adverse emotional reactions to specific sounds ("auditory triggers"). The broad project goal is to develop computational models of hearing and perception that are fitted to human perceptual measurements and that can be used to characterize and diagnose misophonia. The models will also be used to develop sound processing tools to remove and de-emphasize auditory triggers (e.g., with headphones) and improve participant outcomes. The project will use a variety of approaches, including human perceptual experiments, machine learning, digital signal processing, and computational models of hearing. UConn has a vibrant neuroscience community, and there are opportunities for collaboration between departments, institutes, and Universities involved in the project. The primary appointment is in Biomedical Engineering and/or Electrical Engineering. The work will be conducted in collaboration with the Behavioral Neuroscience program in the Psychological Sciences department (Ian Stevenson), the Electrical and Computer Engineering/Biomedical Engineering departments at the University of Connecticut (Monty Escabí), and the Connecticut Institute for Brain and Cognitive Sciences. MINIMUM QUALIFICATIONS * A PhD in Neuroscience, Biomedical Engineering, Computational Neuroscience, or a related field is required. * Experience with experimental design, data analysis, and/or modeling. PREFERRED QUALIFICATIONS * Previous experience, education, or general proven knowledge in hearing or speech and language sciences. * Interdisciplinary research experience in computational and systems neuroscience with prior research experience in human behavior, animal behavior and/or brain physiology. * A strong analytic background, particularly in modeling neural systems and analyzing large datasets. * Experience with acoustic signal processing, sound recognition, and machine learning. APPOINTMENT TERMS This is a full-time, 12-month position funded through the Misophonia Research Fund on a yearly basis. Salaries follow the post-doctoral scale and are based on experience. TERMS AND CONDITIONS OF EMPLOYMENT Employment of the successful candidate is contingent upon the successful completion of a pre-employment criminal background check. TO APPLY Please apply online at ************************** Staff Positions, Search #499299 to upload a single PDF file containing: * a resume (including past research experience and published work), * a one-page statement of prior research experience, * a one-page statement of future research interests and objectives, and * the names and contact information of at least two individuals who can provide reference letters. All employees are subject to adherence to the State Code of Ethics which may be found at ****************************************************** All members of the University of Connecticut are expected to exhibit appreciation of, and contribute to, an inclusive, respectful, and diverse environment for the University community. The University of Connecticut aspires to create a community built on collaboration and belonging and has actively sought to create an inclusive culture within the workforce. The success of the University is dependent on the willingness of our diverse employee and student populations to share their rich perspectives and backgrounds in a respectful manner. This makes it essential for each member of our community to feel secure and welcomed and to thoroughly understand and believe that their ideas are respected by all. We strongly respect each individual employee's unique experiences and perspectives and encourage all members of the community to do the same. All applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The University of Connecticut is an AA/EEO Employer.