132 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" Postdoctoral positions at Princeton University
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Postdoctoral and more senior research positions are available in biological, inorganic, materials, organic, physical, theoretical, and computational chemistry. The Term of appointment is based
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. Our lab works in the areas of ultrafast science, nanoscale thermal transport, and microelectronics, for applications in energy-efficient computing, thermal management, and energy conversion. We seek
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biophysics -experimental and/or computational genomics -computer science, statistics, and/or machine learning with applications relevant to genomics -bioinformatics -population genetics / genomics
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, computer science, electrical engineering, applied mathematics, or operations research) before May 2025 are encouraged to apply. Ideal candidates will display outstanding ability for research and a record of
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for the Postdoctoral Research Associate role . DDSS supports technical and methodological innovation in quantitative and computational social science, addressing a diverse array of new data and analytic challenges
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mechanical and aerospace engineering, including but not limited to the fields of: Bioengineering Combustion and Energy Science Computational Science and Engineering Dynamics and Controls Systems Energy and
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at more senior ranks may have multi-year appointments. Essential Qualifications: PhD in a relevant field. Interested applicants must apply online at https://puwebp.princeton.edu/AcadHire/position/40601
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methodologies. Essential qualifications for these positions include: a Ph.D. in Neuroscience, Computer Science, Bioengineering, Cognitive Science or other closely related fields. Experience working with behaving
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: 281099154 Postdoctoral Research Associate D-26-ENE-00008 | Research | Andlinger Center for Energy and the Environment The Energy Systems Analysis Group (https://acee.princeton.edu/research/energy-systems
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quantitative and computational social science, addressing a diverse array of new data and analytic challenges, facilitating impactful multidisciplinary collaboration, scholarly advancement, and the creation