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Experience in research and data analysis highly preferred. Strong foundational knowledge or interest in molecular systems, structural biology, or cellular biology preferred. Experience with computational
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, understand, and communicate in English sufficiently to perform job duties. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, and
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well as machine learning and multivariate decoding of neuroimaging data to predict subjective experiences and individual differences. Successful candidates will be supported in building a research program at the
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required along with knowledge of molecular biology, computer programming, statistical analysis and genome evolution. Mentoring experience is also required. Certifications/Licenses Required Knowledge, Skills
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Position Details Position Information Recruitment/Posting Title Post Doctoral Associate Department Ecology, Evolutn & Ntrl Rescrc Salary Details $63,968 Offer Information The final salary offer may
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that include a mix of research design, fieldwork, data science, simulation modeling, writing, and presentations. The overarching goal of the Postdoctoral Associate will be to systematically investigate, evaluate
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, electronic health record data, or repeated-measures analyses A record of peer-reviewed publication and interest in developing an independent research program Candidates do not need to have experience in every
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contributions to the PI’s research program, including designing experiments and study materials; collecting, analyzing, and interpreting data; designing and implementing computational models; preparing scientific
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contributions to the PI’s research program, including designing experiments and study materials; collecting, analyzing, and interpreting data; designing and implementing computational models; preparing scientific
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Internal Number: 276715 Position Summary: Rutgers, The State University of New Jersey is seeking a Postdoctoral Associate for the Brain Health Institute (BHI) within Rutgers Biomedical and Health Sciences