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Top Postdoctoral Research Associate Skills

Below we've compiled a list of the most important skills for a postdoctoral research associate. We ranked the top skills based on the percentage of postdoctoral research associate resumes they appeared on. For example, 18.0% of postdoctoral research associate resumes contained phd as a skill. Let's find out what skills a postdoctoral research associate actually needs in order to be successful in the workplace.

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The six most common skills found on Postdoctoral Research Associate resumes in 2020. Read below to see the full list.

1. PHD

high Demand

A Doctor of Philosophy (PhD) is a prestigious degree at the highest academic level, awarded for programs ranging across wide academic fields. The degree of PhD requires the person studying to provide original research in the form of a thesis or dissertation that is not only new but also extensive in knowledge. A PhD is often a prerequisite for being a university professor, scientist, or researcher.

Here's how PHD is used in Postdoctoral Research Associate jobs:
  • Train and provide technical assistance of two graduate students at Master's and PhD level.
  • Mentored a PhD student and SMART (Summer Medical And Research Training) students.
  • Analyzed financial data from 179+ business plans to support a PhD dissertation.
  • Supervised a PhD student in the C code development.
  • Supervised PhD students working in Robust Intelligence.
  • Supervised a technician and PhD student.
  • Supervised and trained two PhD students.
  • Supervised BS and PhD level scientists.
  • Supervised one rotation PhD student.
  • Supervised a visiting PhD student.
  • Supervised PhD and undergraduate students.
  • Participated with Mark F. Bocko, PhD and doctoral student in studying effects of pixel reset voltages on leakage currents.
  • Provided leadership and support while supervising, instructing and mentoring Master and PhD students, research associates and interns.
  • Research on advanced semiconductor devices based on colloidal nanoparticles and expands the research experience gained from PhD study.
  • Managed and trained a PhD level technician in V. carteri developmental biology.
  • Research Mentor: Dr. Conrad C. Weihl, MD., PhD.
  • Research Mentor: Dr. Eric T. Choi, MD., PhD.
  • Mentor: Benjamin D Yu, MD PhD.
  • Mentor: John S. Ramsdell, PhD.

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2. Research Projects

high Demand

Here's how Research Projects is used in Postdoctoral Research Associate jobs:
  • Train graduate students, clinical research fellows and technicians to conduct biological research projects, including experimental and conceptual instruction.
  • Coordinated independent and collaborative research projects aimed at identifying virulence mechanisms of bacterial pathogens using molecular genetic approaches.
  • Major: Inorganic Chemistry - conducted independent research projects; presented findings in various professional publications and meetings.
  • Collaborate extensively with experts in several technical fields to carry out research projects.
  • Supervised two graduate students and several undergraduate students on implementing their research projects.
  • Supervised research projects of graduate students, undergraduates, and laboratory technicians.
  • Trained laboratory personnel on experimental techniques and oversaw student's research projects.
  • Mentored undergraduate student research projects involving experimental validation of RNA-Seq data sets.
  • Mentored graduate and undergraduate students in successful completion of research projects.
  • Authored and collaborated with research projects published in peer-reviewed journals.
  • Shadowed surgeons in operating room for establishing collaborative research projects.
  • Scheduled and performed scientific/ industrial research projects in day-to-day activities.
  • Mentor for undergraduate and graduate astrophysics research projects.
  • Performed chemical synthesis on medicinal chemistry-based research projects.
  • Supervised and managed undergraduate research projects.
  • Supervised two undergraduates in research projects.
  • Guided undergraduate student research projects.
  • Guided exchange visitor students from different countries in their research projects from start to finish till the publication of the paper.
  • Developed research projects on pollution in aquatic systems by mercury, pharmaceuticals and personal care products, and invasive species.
  • Trained, mentored and managed three undergrad and one graduate student so that could help with the ongoing research projects.

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3. Molecular Biology

high Demand

Here's how Molecular Biology is used in Postdoctoral Research Associate jobs:
  • Supervised graduate and under-graduate students on various projects; provided training on various molecular biology techniques, including molecular marker development.
  • Ferry s laboratory expanded my knowledge in microbiology and molecular biology.
  • Trained master- and under-graduates in molecular biology and biochemistry techniques.
  • Trained graduate students in Molecular Biology techniques.
  • Gained experience in Molecular Biology and Biochemistry techniques
  • Introduced molecular biology techniques into the laboratory.
  • Increased proficiency in molecular biology techniques.
  • Trained undergraduate students in molecular biology.
  • Supervised medical students, graduate students and undergraduate students to learn techniques in cell culture, molecular biology and biochemistry.
  • General microbiology and molecular biology techniques; complex PCR from highly G/C rich templates / gene cloning / DNA sequencing.
  • Performed laboratory research in the areas of enzyme kinetics, protein chemistry, molecular biology, and insect biology.
  • Developed and taught, for two years, a molecular biology mini course tailored for advanced high school students.
  • Trained graduate students, undergraduate students, research technicians and visiting scholars in common molecular biology techniques.
  • Plant tissue culture, transformation and molecular biology of soybean, peach, apple and tomato
  • Used protein and molecular biology techniques, including PCR, SDS-PAGE, HPLC etc.
  • Trained project personnel in molecular biology methods, for DNA and RNA work.
  • Used molecular biology and cell culture techniques to identify the target.
  • Acquired skills in the use of specific molecular techniques.
  • Trained students and scientists in Molecular Biology techniques.
  • Developed and conducted molecular biology-based experiments and cell culture based assays to investigate the Molecular Mechanism of Aneuploidy in Cancer.

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4. Data Analysis

high Demand

Here's how Data Analysis is used in Postdoctoral Research Associate jobs:
  • Train and supervise undergraduate students in study design, assay development and validation, experiments, and data analysis and interpretation.
  • Supervised and trained Bio-Medical Engineering and Chemistry graduate students in chemical methods, framework implementation for effective research and data analysis.
  • Manage projects for data collection, data analysis, statistical analysis, data visualization, data extraction and transformation.
  • Developed packages with C/C++ for experimental data analysis, model simulation and numerical calculation of ions at interface.
  • Plan, coordinate and manage studies with academic collaborators to maintain efficient and effective experimentation and data analysis.
  • Developed experimental data analysis and model simulation packages with C/C++, integrated with interactive commercial Igor Pro package.
  • Mentored several undergraduates in project design, methodologies, data analysis and presentation of results.
  • Contributed key experimental findings and data analysis for a collaborative research project within our group.
  • Performed data analysis, prepared scientific and technical reports and presented in scientific conferences.
  • Provided editing support and feedback for colleagues on data analysis and manuscript preparation.
  • Developed data analysis algorithms to search for various gravitational-wave signals in real time.
  • Developed code for generating and performing data analysis of large scientific data sets.
  • Assisted the brain-body dynamics lab projects in system identification and data analysis.
  • Designed experiments, conducted laboratory experiments, and performed statistical data analysis.
  • Worked closely with several graduate students regarding data analysis and thesis writing.
  • Infrared pulsed laser deposition of thin polymer films - characterization and data analysis
  • Developed data analysis and visualization software using Python for doctors' use.
  • Developed proprietary computer software for data analysis and graphical results presentation.
  • Worked on developing data analysis algorithms for generating detector response functions.
  • Improved efficiency of data analysis by developing and improving MATLAB programs.

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5. Python

high Demand

Python is a widely-known programming language. It is an object-oriented and all-purpose, coding language that can be used for software development as well as web development.

Here's how Python is used in Postdoctoral Research Associate jobs:
  • Managed the submission of event generation jobs using PYTHON and BASH scripts in a UNIX/LINUX environment.
  • Maintained data (e.g., Excel database creation, parsing XML files with Python scripts).
  • Led a research group of over 4 graduate students and developed a software in Python.
  • Edited Perl, R, and Python scripts to suit primary data manipulation requirements.
  • Developed and tested software and hardware for Skills Used C++ and Python programming.
  • Analyzed high throughput sequencing data using python and R scripts.
  • Analyzed time-series data set for classification/regression, clustering and predictive modeling problem using R and Python.
  • Published 7 scientific articles, released C++ software for Bayesian Weighting, and Python/C++ software for Variational Bayesian Weighting algorithms.
  • Developed a comprehensive pre and post-processing toolbox for general QBMM CFD simulations using Python and VTK package.
  • Developed Unix shell (Bash, Tcl, Python) scripts for interplay of different codes.
  • Developed python codes to efficiently handle multiple read/unread, flag/unflag, and delete operations on emails.
  • Created numerous image and catalog search programs in Fortran and Python for graduate research.
  • Implemented an acoustic OFDM testbed by using GNU Radio, USRP and Python.
  • Develop perl and python scripts for hardware control as well as data-logging.
  • Relied extensively on programming in Matlab and Python.
  • Experience gained with postgreSQL, condor, c++, python, ROOT,GEANT4, BOOST
  • Created software using Python to analyze quantitative phosphopeptide data after quantitation and alignment using Progenesis-QI.
  • Used python and excel to analyze data for a global phosphoproteome project in Chlamydomonas.
  • Worked extensively with shell script, C++, python .

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6. Cell Culture

high Demand

Here's how Cell Culture is used in Postdoctoral Research Associate jobs:
  • Project involved designing and cloning chimeric viruses, and developing a cell culture system to propagate the viruses.
  • Have valuable experience with cell culture: CHO and HEK cells, and gained familiarity with PCR method.
  • Analyzed the formation of new metabolite developed in cell culture with different antiviral drugs.
  • Prepare cell cultures, express and purify channel proteins, DNA isolation.
  • Used a combination of cell culture, biochemistry and mice in research.
  • Plan and execute budget to set up stem cell culture facility.
  • Characterized protein-protein interactions using cell culture, cell aggregation analysis, ELISA-based binding assays, flow cytometry, and protein expression.
  • Developed novel spectroscopy (NIR/Raman/Mid-IR/Fluorescence/XRF)-based assays for quality control of raw materials in mammalian cell culture.
  • Evaluated the episcleral drug clearance mechanism utilizing cell culture techniques.
  • Supervised them on cell culture, neurite length measurement, Western Blot, data process and analysis.
  • Employed flow cytometry, q-PCR, immune-assays, cell culture and other molecular and cell biology methods.
  • Use cell culture and tissue to validate the existence of glutamate receptors in dorsal root ganglia neurons.
  • Experience with aseptic technique and microbial cell culture at scale from 5mL tubes to 300L bioreactors.
  • Optimized three-dimensional cell culture and gene profiling by RT-PCR and qPCR (ABI 7900).
  • Designed experiments utilizing next generation sequencing, bioinformatics, PCR and cell culture.
  • Expressed proteins in mammalian cell cultures by transfection and infection.
  • Used gel electrophoresis, microscopy, and cell culture methods.
  • Standardized and improved isolation of microvascular endothelial cells from rat lungs and primary cell culture.
  • Experienced with PCR, mutagenesis, cell culture, protein extraction and purification, protein-ligand interactions, and total protein assays.
  • Trained and supervised graduate students and research technicians in chromatography, SPR, cell culture and flow cytometry.

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7. Chemistry

high Demand

Chemistry is the branch of science that tells us about the composition, properties, and structure of elements and compounds. The processes these elements undergo and how they undergo change all come under the branch of chemistry.

Here's how Chemistry is used in Postdoctoral Research Associate jobs:
  • Performed independent research in the areas of theoretical and computational chemistry under the guidance of Professor Todd Martinez.
  • Designed and developed flexible scheduling algorithm for a set of experiments on an automated chemistry workstation.
  • Institute of Surface Chemistry Research Scientist Prepared surface modified carbon and silica materials.
  • Implemented data flow and analysis of an automated chemistry workstation for organic synthesis.
  • Supervised CEA doctorate students in chemistry and safe conduct of laboratory operations.
  • Developed and taught undergraduate courses in Instrumental Analysis and General Chemistry Laboratories.
  • Initiated a theoretical chemistry program to model and verify the experimental results.
  • Experience in working with interdisciplinary group of chemistry and biology.
  • Proposed parallel Simplex optimization algorithm for an automated chemistry workstation.
  • Created parallel-screening strategy for an automated chemistry workstation.
  • Trained Undergraduate students in Medicinal Chemistry research.
  • Created multimedia lectures for biological chemistry.
  • Performed scientific research in computational chemistry.
  • Initiated exploratory use of system within areas of high research value within the field of carbohydrate chemistry.
  • Managed graduate students and undergraduates as well as maintained instrumentation used in Chemistry Department at WVU.
  • Perform research in computational chemistry and biology of nucleic acids, mentor graduate and undergraduate students.
  • Utilized chemistry to solve research problems and to create new projects for the research group.
  • Served in the Atom Trapping team of the Chemistry Division, Nuclear Chemistry Group.
  • Synthesized a few compounds significant to protein chemistry research (coauthored paper published).
  • Studied clay mineral-based catalysts and ceramics, and surface chemistry of metal oxides.

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8. Post-Doctoral

high Demand

A postdoc is a transitory position that permits a PhD student to continue their training as a researcher and obtain skills and experience for their academic career. Primarily they are researchers who work under the guidance of a mentor as part of a group. Although there are some postdocs positions at non-profits and in government, the majority of positions are in industry or at universities.

Here's how Post-Doctoral is used in Postdoctoral Research Associate jobs:
  • Awarded Juvenile Diabetes Research Foundation Post-doctoral Research Fellowship.
  • Assisted and helped out with a pool of experts and researchers in the conduct of other useful studies for post-doctoral education.
  • Work towards training visiting graduate students and post-doctoral scholarsin satellite image processing methods, flux data processing and micrometeorological methods.
  • Organized and implemented post-doctoral internship program Pre-Doctoral Supervised Clinical Experience
  • Coordinated and participated in the selection of psychology interns and post-doctoral fellows from a large pool of competitive applicants.
  • Prepared and presented lecture to post-doctoral staff and presented patient information at department-wide grand rounds.

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9. R

high Demand

R is a free software environment and a language used by programmers for statistical computing. The R programming language is famously used for data analysis by data scientists.

Here's how R is used in Postdoctoral Research Associate jobs:
  • Explored generalized linear models and generalized additive models using R statistical software and ArcGIS software.
  • Mapped case locations and measured clustering and directional trends in ArcGIS, ClusterSEER and R softwares.
  • used clustering algorithms in R to mine the data for biological significance
  • Updated and maintained R package, R/maanova MicroRNA array: Analyzed data for cancer stem cell research.
  • Drafted logistic regression report and variable explanation documents, which maximized professors' research capability Skills Used R programming Microsoft SQL Server
  • Identified systematic errors in electronic medical record using a combination of SQL queries and R visualizations.

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10. C++

high Demand

C++ is a general-purpose programming language that is used to create high-performing applications. It was invented as an extension to the C language. C++ lets the programmer have a high level of domination over memory and system resources. C++ is an object-oriented language that helps you implement real-time issues based on different data functions

Here's how C++ is used in Postdoctoral Research Associate jobs:
  • Published 7 scientific articles, released C++ software for Bayesian Weighting, and Python/C++ software for Variational Bayesian Weighting algorithms.
  • Invented a portable wireless network environment simulator in C++ to quickly explore and evaluate alternative machine-learning approaches to autonomic route management.
  • Developed time-series analysis software in C++ for use in the data mining and statistical analysis of astronomical data.
  • Developed a C++ mixture-modeling program to classify transcription factor target genes using the expectation-maximization algorithm.
  • Implemented Huffman encoding/decoding algorithm in C++ for information hiding protocols.
  • Completed software development of Cardiovascular Geometry Reconstruction in Windows 7 with C/C++.

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11. Data Collection

high Demand

Data collection means to analyze and collect all the necessary information. It helps in carrying out research and in storing important and necessary information. The most important goal of data collection is to gather the information that is rich and accurate for statistical analysis.

Here's how Data Collection is used in Postdoctoral Research Associate jobs:
  • Led and managed laboratory activities* Designed experiments, performed data collection, and analysis.
  • Collected aerosol samples/data collection in field campaigns, performing instrument troubleshooting and repair.
  • Trained technicians in biological and anthropological data collection methodologies.
  • Perform data collection, processing and statistical analysis.
  • Handled data collection, analysis and development.
  • Managed research project planning, experimental design, execution, data collection, and result analysis.
  • Design and implement data collection instruments, including surveys and interview protocols.
  • Automated the reactor using labview for efficient data collection.

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12. NIH

high Demand

Here's how NIH is used in Postdoctoral Research Associate jobs:
  • Assess manuscripts on behalf of peer-reviewed journals and NIH RFA research proposals for scientific merit (data quality and interpretation).
  • Participated in NIH funded study combining electrical impedance tomography (EIT) and mammography images to improve breast cancer detection.
  • Played key role in grant proposal and $1M funding acquisition from National Institutes of Health (NIH).
  • Co-authored 33 publications and made significant contributions to receive NIH grants for the team.
  • Participated in preparing and writing of operating grant applications (NIH and DOD).
  • Developed and wrote a successful grant to obtain funding from the NIH.
  • Submitted grant applications and authored progress reports for NIH grants.
  • Major participant in three NIH R01 grants.
  • Contributed to writing NIH grant proposals.
  • Prepared grant proposals to NIH, NSF, DOD, ACS, NCSU.
  • Contributed significantly to PI's NIH grant applications that were awarded Trained and supervised undergraduate and graduate students.
  • Served as the Key-investigator on ~$8 million NIH Research Center on Complementary & Alternative Medicine.
  • Drafted parts of R01 NIH grant that was awarded to the laboratory head, Professor Gladyshev.
  • Helped write several NIH grants for principal investigator (Tim R. Mosmann).
  • Worked in NIH project involving the effect of Calcitonin in reproduction, (1 year).
  • USA.Participated in the National Institutes of Health (NIH)-funded project entitled "Structures and Functions of Enamel Proteins".
  • Mentor: Nurulain T. Zaveri, Ph.D. Wrote an NIH proposal as a principal investigator.

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13. PI

high Demand

PI is the execution of all research's components such as preparation, conduction, and administration.

Here's how PI is used in Postdoctoral Research Associate jobs:
  • Support PI in formulation of research plan, budget, organization of application, and submission of grants to multiple institutions !
  • Assisted PI in new synthetic lab set-up, and contributed in writing research papers, proposals and grants for external funding.
  • Awarded over 400 hours instrument time (worth ~$130,000) in national labs as PI in 10proposals.
  • Served as Principal Investigator (PI) or Scientific PI on grants totaling approximately $620K.
  • Helped write proposals and assisted PI in securing funding from Mead-Westvaco and Michelin North America.
  • Report the research findings to the PI weekly.
  • Conceptualized and obtained a pilot grant as PI for translational research in Alzheimer's Disease.
  • Subcontract with Texas A & M University, Dr. Sam Reddy (PI).
  • Project: Contrasting environmental and genetic controls of alternative phenotypes.PI: Dr. Jennifer A. Brisson
  • Assist the PI in manuscript preparation for publicationo Marx et al 2016.

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14. Gene Expression

high Demand

Gene expression is a process whereby function products like proteins get synthesized by human DNA, making it easy for cells to adjust to external and internal factors.

Here's how Gene Expression is used in Postdoctoral Research Associate jobs:
  • Standardized and improved RNA amplification to obtain enough templates to quantify gene expression.
  • Conducted statistical methodology research in discovering gene expression profiles.
  • Modified gene expression by swapping domains between proteins
  • Initiated, designed, and conducted research project to investigate mechanisms regulating sex differences in liver gene expression.
  • Studied the gene expression, sub-cellular localization, and evolutionary relationship between GT14 and DUF266 gene family.
  • Analyzed gene expression profiles of ENU-induced cell lines and tumors, and identified markers of transformation.
  • Investigated effects of viral gene expression in yeast as a model for host-virus interaction.
  • Designed and managed the FACS facility of the Gene Expression Laboratory.
  • Studied the gene expression profile related to atherosclerosis in Japanese quail.
  • Hunted ABC transporter gene using differential gene expressions.
  • Gained experience in laser microdissection for RNA recovery and analysis of gene expression at powdery mildew infection sites.
  • Purified enzymes from natural sources and overexpression systems.
  • Studied the effect of temperature on HPPD inhibitor (mesotrione) efficacy in Palmer amaranth and the resulting HPPD gene expression.
  • Played a role in the development of microarray based analysis of gene content and gene expression in natural environments.
  • Manipulated gene expression and cell signal pathways in cultured cell lines using small molecule inhibitors and DNA transfection.
  • Utilized various molecular techniques including cloning, PCR, Real-time qPCR gene expression assays, RT PCR.
  • Invented compositions and methods for high yield production of exquisitely lethal proteins for E. coli expression system.
  • Generate gene expression profiles for human cell types using exon array data.
  • Initiated and conducted research on gene expression regulation in metal-reducing bacteria using targeted mutagenesis and microarray expression profiling.
  • Improved lab techniques for increased sensitivity in gene expression experiments of olfactory genes in Drosophila suzukii and mosquito.

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15. Flow Cytometry

average Demand

Here's how Flow Cytometry is used in Postdoctoral Research Associate jobs:
  • Investigated various data transformations for flow cytometry data.
  • Tracked DNA synthesis and cell cycle checkpoints, leveraging FLOW cytometry techniques.
  • Flow Cytometry and magnetic sorting.
  • Flow cytometry cell cycle analysis.
  • Purify mononuclear cells from umbilical cord and peripheral blood for analyses of stem cells by flow cytometry.
  • Standardized protocols for qPCR, molecular cloning, Western blot, cell imaging and flow cytometry.
  • Experience with various flow cytometry machines including FACS Arai I & II, FACS Sorter
  • Performed FLOW cytometry to monitor DNA synthesis and cell cycle checkpoints.
  • Host biomarkers were measured by ELISA, qPCR-array flow cytometry, and cell-based assay.
  • Investigated in vitro cytotoxic activity of anti-tumor cells via pharmacological analysis, flow cytometry staining and confocal microscopy.

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16. Crispr

average Demand

Here's how Crispr is used in Postdoctoral Research Associate jobs:
  • Established working protocols for targeted genome editing using CRISPR technology.
  • Pioneered the lab usage of Crispr/Cas9 genome editing to create >12 genetically modified stem cell lines and mouse mutants.
  • Transfected 293-T cells with CRISPR constructs.
  • Cloned guiding RNAs in CRISPR lentiviral vectors.
  • Designed and validated assays to edit genes and evaluate editing efficiency using CRISPR/Cas9.
  • Generate genetically modified mice models using CRISPR/Cas9 genome editing technology.

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Online Courses For Postdoctoral Research Associates

One of the best ways to acquire the skills needed to be a postdoctoral research associate is to take an online course. We've identified some online courses from Udemy and Coursera that will help you advance in your career. Since postdoctoral research associates benefit from having skills like phd, research projects, and molecular biology, we found courses that will help you improve these skills.

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Research Methodology
udemy
4.4
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Academic Research Business Research Thesis & Dissertation Report Research Paper / Journal...

Data Management for Clinical Research
coursera

This course presents critical concepts and practical methods to support planning, collection, storage, and dissemination of data in clinical research. Understanding and implementing solid data management principles is critical for any scientific domain. Regardless of your current (or anticipated) role in the research enterprise, a strong working knowledge and skill set in data management principles and practice will increase your productivity and improve your science. Our goal is to use these mo...

Applied Statistical Modeling for Data Analysis in R
udemy
4.4
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Your Complete Guide to Statistical Data Analysis and Visualization For Practical Applications in R...

Open Science: Sharing Your Research with the World
edX (Global)

You can become a more visible, effective and impactful researcher by sharing your research data and publications openly. In this course, you will learn the objectives, main concepts, and benefits of Open Science principles along with practices for open data management and open data sharing. Since research increasingly relies on software which is used to model and simulate, and to deal with the ever growing volume of research data, the course will also introduce FAIR software practices. You'll...

Foundations of Health Equity Research
coursera

Introduces students to the core principles of health equity research. Covers topics such as defining health equity, engaging community and policy stakeholders, patient-centeredness, cultural competence, and dissemination of research findings. Content will recognize different geographic, cultural, and social contexts where health inequities occur...

How to Write an Effective Research Paper
udemy
4.5
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Learn how to write award-winning research papers with easy steps. Includes examples and a research paper template...

Public Involvement in Research
coursera

This course focuses on participatory approaches in research, known as 'public involvement' in the UK. You'll specifically, consider why citizens and patients would be involved in research and explore participatory approaches across and within the research cycle in more detail, diving into questions such as: - what kinds of participation can be undertaken at each of the 7 stages of the cycle? - how can you utilise participation in research? - what examples of using participatory approaches exist...

Qualitative Research
coursera

In this course, the second in the Market Research Specialization, you will go in-depth with qualitative market research methods, from design to implementation to analysis. Week 1: Define qualitative research and how it differs from quantitative research. Explore the various qualitative research methods and evaluate when and how to use them for your research project. Week 2: Design the qualitative instruments necessary for your interviews or focus groups, and plan your recruitment efforts. Write...

Market Research
coursera

"Finding the Story in the Data" is the most important emerging capability for market researchers according to GRIT (Greenbook Research Industry Trends) Report 2016. This specialization, designed for learners with no previous Marketing Research experience teaches a comprehensive marketing research approach that will help learners find and communicate the story in the data. Students will learn how to initiate a research project for targeted business needs, conduct research through multiple modes a...

Research Methods and Statistics: An Introduction
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A Primer in Research Methodology and Statistics in the Social Sciences...

Introduction to Qualitative Research Methods
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Learn the basics of conducting qualitative research. Learn to design interviews, conduct observations, and analyze data...

Biospecimen Research Methods
edX (Global)

The success of your research depends on the quality of the biospecimens you use. Get ahead of the competition, increase your chances of being published in high impact journals, and open doors to opportunities for working in leading biomedical research laboratories or biobanks. This biology and life sciences course will enable you to collect, recognize and utilize a quality human biospecimen. Over 6 weeks, professionals, with extensive experience in biobanking from the University of British...

Research Data Management and Sharing
coursera

This course will provide learners with an introduction to research data management and sharing. After completing this course, learners will understand the diversity of data and their management needs across the research data lifecycle, be able to identify the components of good data management plans, and be familiar with best practices for working with data including the organization, documentation, and storage and security of data. Learners will also understand the impetus and importance of arc...

Molecular Biology - Part 1: DNA Replication and Repair
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You’re acquainted with your DNA, but did you know that your cells synthesize enough DNA during your lifetime to stretch a lightyear in length? How does the cellular machinery accomplish such a feat without making more mistakes than you can survive? Why isn’t the incidence of cancer even higher than it is? And, if the DNA in each and every cell is two meters long, how is this genetic material compacted to fit inside the cell nucleus without becoming a tangled mess? Are you ready to go beyond the...

Research for Impact
coursera

In this course, you will learn more about the Research for Impact approach - a set of principles and practices that will help you to make your research more impactful. Traditionally, the goals and outcomes of research projects were to contribute knowledge and communicate this knowledge through academic publications and journal articles. But If we truly want our research to have an impact, we need to do research differently. Research that influences change in policy, practice, behaviour and attit...

Quantitative Marketing Research
edX (Global)

Marketing research is crucial to marketing managers, as it helps answer crucial marketing questions using data. In this course, we introduce quantitative marketing research techniques in conjunction with key marketing concepts. The participant is introduced to the design, implementation and interpretation of quantitative market research projects. The participant is introduced to the concept of value and willingness-to-pay, along with how to use auctions to estimate this. We then cover conjoint...

Understanding Research Methods
coursera

This MOOC is about demystifying research and research methods. It will outline the fundamentals of doing research, aimed primarily, but not exclusively, at the postgraduate level. It places the student experience at the centre of our endeavours by engaging learners in a range of robust and challenging discussions and exercises befitting SOAS, University of London's status as a research-intensive university and its rich research heritage. The course will appeal to those of you who require an unde...

Research Methods: An Engineering Approach
edX (Global)

A PhD or master’s level research project is an enormous undertaking, and you might find yourself a bit uncertain about the process or how to achieve the desired outcome. In this research course, you will learn the underlying principles that are needed to conduct research from an engineering perspective. This course is designed for engineering students conducting postgraduate research work on engineering projects. The objective of the course is to translate current research methods, which are...

Reproducible Research
coursera

This course focuses on the concepts and tools behind reporting modern data analyses in a reproducible manner. Reproducible research is the idea that data analyses, and more generally, scientific claims, are published with their data and software code so that others may verify the findings and build upon them. The need for reproducibility is increasing dramatically as data analyses become more complex, involving larger datasets and more sophisticated computations. Reproducibility allows for peopl...

Research Methods For Business Students
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A-Z guide to writing a rockstar Research Paper with a bulletproof Research Methodology!...

20 Most Common Skill For A Postdoctoral Research Associate

PHD18%
Research Projects11.1%
Molecular Biology6.6%
Data Analysis6.1%
Python5.3%
Cell Culture4.9%
Chemistry4.8%
Post-Doctoral4.4%

Typical Skill-Sets Required For A Postdoctoral Research Associate

RankascdescSkillascdescPercentage of ResumesPercentageascdesc
1
1
PHD
PHD
18%
18%
2
2
Research Projects
Research Projects
11.1%
11.1%
3
3
Molecular Biology
Molecular Biology
6.6%
6.6%
4
4
Data Analysis
Data Analysis
6.1%
6.1%
5
5
Python
Python
5.3%
5.3%
6
6
Cell Culture
Cell Culture
4.9%
4.9%
7
7
Chemistry
Chemistry
4.8%
4.8%
8
8
Post-Doctoral
Post-Doctoral
4.4%
4.4%
9
9
R
R
3.3%
3.3%
10
10
C++
C++
3.2%
3.2%
11
11
Data Collection
Data Collection
2.7%
2.7%
12
12
NIH
NIH
2.7%
2.7%
13
13
PI
PI
2.4%
2.4%
14
14
Gene Expression
Gene Expression
2.4%
2.4%
15
15
Flow Cytometry
Flow Cytometry
2%
2%
16
16
Crispr
Crispr
1.5%
1.5%
17
17
Confocal Microscopy
Confocal Microscopy
1.5%
1.5%
18
18
NSF
NSF
1.5%
1.5%
19
19
DNA
DNA
1.4%
1.4%
20
20
DOE
DOE
1.4%
1.4%
21
21
Experimental Design
Experimental Design
1%
1%
22
22
Rna-Seq
Rna-Seq
0.9%
0.9%
23
23
Scientific Meetings
Scientific Meetings
0.9%
0.9%
24
24
Elisa
Elisa
0.7%
0.7%
25
25
NMR
NMR
0.7%
0.7%
26
26
Rt-Pcr
Rt-Pcr
0.6%
0.6%
27
27
Biomarkers
Biomarkers
0.5%
0.5%
28
28
Mass Spectrometry
Mass Spectrometry
0.5%
0.5%
29
29
Immunofluorescence
Immunofluorescence
0.5%
0.5%
30
30
International Conferences
International Conferences
0.5%
0.5%
31
31
Protein
Protein
0.5%
0.5%
32
32
Lc-Ms
Lc-Ms
0.5%
0.5%
33
33
Hplc
Hplc
0.4%
0.4%
34
34
Mouse Model
Mouse Model
0.4%
0.4%
35
35
Genotyping
Genotyping
0.4%
0.4%
36
36
Fortran
Fortran
0.3%
0.3%
37
37
Immunoprecipitation
Immunoprecipitation
0.3%
0.3%
38
38
Labview
Labview
0.3%
0.3%
39
39
SEM
SEM
0.3%
0.3%
40
40
Monte Carlo
Monte Carlo
0.3%
0.3%
41
41
Experimental Data
Experimental Data
0.3%
0.3%
42
42
Facs
Facs
0.3%
0.3%
43
43
Neurodegeneration
Neurodegeneration
0.3%
0.3%
44
44
Nasa
Nasa
0.2%
0.2%
45
45
Nanoparticles
Nanoparticles
0.2%
0.2%
46
46
Crystallography
Crystallography
0.2%
0.2%
47
47
TEM
TEM
0.2%
0.2%
48
48
Zebrafish
Zebrafish
0.2%
0.2%
49
49
Uv-Vis
Uv-Vis
0.2%
0.2%

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