223 proof-checking-postdoc-computer-science-logic Postdoctoral positions at Princeton University
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The Department of Electrical and Computer Engineering invites applications for postdoctoral, or more senior, research positions. The term of appointment is based on rank. Positions
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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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The Department of Operations Research & Financial Engineering invites applications for postdoctoral and more senior research positions. Individuals with evidence of experience in scholarly research
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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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. The work location for this position is in-person on campus at Princeton University. The position is subject to the University's background check policy. Applicants must apply online at https
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Princeton University School of Engineering and Applied Science invites applications for postdoctoral and more senior research positions. Individuals with evidence of experience in scholarly research
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, Biogeochemical Cycles, Paleoclimatology, Oceanography, Atmospheric Science, Geodynamics, Geochronology, Earth History, Seismology, and Planetary Science. Postdoctoral Associate positions are available for one year
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Library and to a wide range of activities throughout the University. This position is subject to the University's background check policy. Appointments are for one year. Applicants cannot be in the process
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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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include: a Ph.D. in Neuroscience, Psychology, Cognitive Science, Computer Science, Engineering, or other related field, and strong experience with computational models, programming, and quantitative methods