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to excellence in education are encouraged to apply. A PhD in Materials Science, Optics, Physics, Chemistry, Electrical, Chemical, Mechanical, Civil or Bio Engineering or related area is required. We
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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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senior ranks may have multi-year appointments. Individuals should have or be expected to have a PhD with appropriate research experience in computational biology, chemistry, biochemistry, computer science
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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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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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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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:59 pm EST) for full consideration; however, the posting will remain open until filled. Application Process - All candidates must use the online application process to submit materials at: https
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genomic data for reconstructing evolutionary patterns and processes that have shaped biological history across deep timescales. The ideal candidate will have a background in phylogenomics and bioinformatics
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to ion beams with well-controlled energies and incident angles for benchmarking and validation of theoretical calculations and computational physics and chemistry modeling of important surface processes