89 phd-computer-artificial-machine-human Postdoctoral positions at Princeton University
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and machine learning with Prof. Jason M. Klusowski (https://klusowski.princeton.edu). The position is for one year with the possibility of reappointment based on satisfactory performance and
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of tools and public goods. Requirements Applicants must have (or expect to have at time of appointment) a PhD in the social sciences, statistics, computer science, or related fields, and their interests must
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revolutionize the understanding and advancement of human health by conducting interdisciplinary foundational research, developing and harnessing advanced computational approaches, and training the next generation
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positions. Dr. Wei Peng's group (www.weipengenergy.com) focuses on modeling institutional and human dimensions of energy transition to identify realistic and robust decarbonization strategies. The appointment
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The Computer Science Department invites applications for postdoctoral research or more senior research positions to work on an interdisciplinary project exploring decision-making in humans and AI
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satisfactory performance and continued funding; those hired at more senior ranks may have multi-year appointments. Essential Qualifications: PhD in a relevant field. Interested applicants must apply online
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associate positions. Dr. Wei Peng's group (www.weipengenergy.com) focuses on modeling institutional and human dimensions of energy transition to identify realistic and robust decarbonization strategies
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postdoctoral fellowship program. Appointments will be at the Postdoctoral Research Associate or more senior researcher rank. These highly competitive positions will support research in quantum science and
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positions. Individuals with evidence of experience in scholarly research and a strong commitment to excellence in education are encouraged to apply. A PhD in Materials Science, Optics, Physics, Chemistry
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collaborative research experiences, experience writing proposals for user-facilities, and/or experience leading and mentoring graduate and undergraduate students. A PhD in relevant fields of energy storage