74 parallel-computing-numerical-methods-"Multiple" Postdoctoral positions at Rutgers University
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, PETS has developed into a major research group, recruiting numerous new core, part-time, and adjunct faculty, and an experienced team of highly trained administrative and analytic staff. The current PETS
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skills. Multiple resources for career development to aid with these requirements will be provided by the PI and the Office of Postdoctoral Affairs. Among the key duties of this position are the following
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addressing evolutionary medicine and human behavior. This is a calendar year position. Candidates with experience in quantitative, laboratory, or field-based methods and/or theoretical expertise in
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coagulation factors in multiple physiologic and disease contexts. Participates in the evaluation of existing procedures, suggesting revisions where necessary and proposing new procedures where required. Assists
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inference methods in these data, assemble and summarize relevant literature, and will be encouraged to develop their own independent research program in maternal and child health and/or housing and
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, PETS has developed into a major research group, recruiting numerous new core, part-time, and adjunct faculty, and an experienced team of highly trained administrative and analytic staff. The current PETS
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. The successful applicant will work in the areas of causal inference and statistical learning with high-dimensional observational data, including development of statistical and computational methods, and
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. The successful applicant will work in the areas of causal inference and statistical learning with high-dimensional observational data, including development of statistical and computational methods, and
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Internal Number: 260781 Minimum Education and Experience: Candidate must have a Ph.D. degree in an area relevant to climatology, geoscience, climate change, natural hazards, impact analysis, and/or numerical
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research projects and prepare manuscripts and grant applications. The Post Doctoral Associate will be supported in developing an independent line of research leveraging birth cohort data including multiple