74 parallel-processing-bioinformatics Postdoctoral research jobs at Princeton University
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package development and maintenance in R; record linkage/entity resolution; data privacy techniques; large data processing and high performance computing; advanced causal inference and statistics; computer
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to coastal sea level variability and relevant physical processes (e.g. ocean warming and mass redistribution); 2) conducting sensitivity analyses to identify the roles played by model forcing, horizontal
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or experiments on decision-making processes in public or private organizations. Most of the research in this area is descriptive and has rarely been theoretically grounded field-tested in governments and private
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to investigate:1) How immune cells localize and adopt specialized functions in distinct tissue niches to either maintain homeostasis or drive age-related dysfunction.2) The molecular and cellular processes
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Process - All candidates must use the online application process to submit materials at: https://puwebp.princeton.edu/AcadHire/position/39861 Applicants are required to hold a Ph.D. or expect to receive a
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Johri (Associate Director, RPDE) at rpde@princeton.edu . The submission must be online via https://www.princeton.edu/acad-positions/position/40561 . We will begin processing applications after November 24
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of design, computation, and robotics. ARG's research interests include topics such as robot learning, human-robot interaction, Generative AI, computer vision, closed-loop control, extended reality (XR), and
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, and robotics. ARG's research interests include topics such as robot learning, human-robot interaction, Generative AI, computer vision, closed-loop control, extended reality (XR), and computational
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science, electrical and computer engineering, sociology, public policy, information science, communication, economics, political science, psychology, philosophy, and related technology disciplines. Selected candidates
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to applicants with demonstrated expertise in energy systems analysis, in the collection, processing, and integration of country-specific data for economy-wide energy system decarbonization models, in