137 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" Postdoctoral research jobs at Princeton University
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-scale meta-analyses of mass spectrometric datasets (https://www.nature.com/articles/s41592-021-01194-4). The research is computational in nature but involves close interactions with experimental
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The High Meadows Environmental Institute (HMEI), (https://environment.princeton.edu/) invites applications for postdoctoral research associates and more senior research positions focusing
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, with appropriate research experience in quantitative biology, (bio)physics, (bio)engineering or related Engineering and Physical sciences disciplines, and a solid publication record. We seek faculty
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engineering. We seek candidates with an interest in participating in large multi-PI grants and with collaborative research experiences, experience writing proposals for user-facilities, and/or experience
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*Soft and Living Materials *Natural and Engineered Materials for Energy, Environment and Sustainability *Optical Materials and Light Matter Interactions *Quantum Materials Science The term of appointment
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The Computer Science Department invites applications for postdoctoral and more senior research positions. Individuals with evidence of experience in scholarly research and a strong commitment to
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: 282551530 Postdoctoral Research Associate D-25-CBE-00007 | Research | Chemical & Biological Engineering The Rosen Research Group at Princeton University (https://rosen.cbe.princeton.edu) is searching for a
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at https://www.princeton.edu/acad-positions/position/40601 and submit a cover letter, resume, a brief statement of research interests, and contact information for at least two references. This position is
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engagement, enabling distinctive impact, both academic and societal. In this context, we welcome applicants from diverse backgrounds such as computer science, electrical and computer engineering, sociology
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: 282551547 Postdoctoral Research Associate D-26-MAE-00001 | Research | Mechanical and Aerospace Engineering The Computational Turbulent Reacting Flow Laboratory, led by Prof. Michael E. Mueller, invites