14 assistant-professor-computer-science Postdoctoral research jobs at Princeton University
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, working under the guidance of Dr. Arash Adel, Assistant Professor in the School of Architecture and Associated Faculty of the Department of Computer Science. The desired start date is Spring 2025
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2,600 graduate students. The University's generous financial aid program ensures that talented students from all economic backgrounds can afford a Princeton education. Connections working at Princeton
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. Essential qualifications for this position include: a Ph.D. in Neuroscience, Psychology, Cognitive Science, Computer Science, Engineering, or other related field, and strong experience with computational
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the guidance of Dr. Arash Adel, Assistant Professor in the School of Architecture and Associated Faculty of the Department of Computer Science. The desired start date is Spring 2025. Appointments are for one
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to undergraduate teaching.Today, more than 1,100 faculty members instruct approximately 5,200 undergraduate students and 2,600 graduate students. The University's generous financial aid program ensures that talented
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graduate students. The University's generous financial aid program ensures that talented students from all economic backgrounds can afford a Princeton education. Connections working at Princeton University
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2,600 graduate students. The University's generous financial aid program ensures that talented students from all economic backgrounds can afford a Princeton education. Connections working at Princeton
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: 270175802 Position: Postdoctoral Research Associate Description: The Behavioral Science for Policy Lab (BSPL), directed by Professor Elke Weber, is seeking an outstanding researcher for a Postdoctoral
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offer a unique opportunity to engage in cutting-edge interdisciplinary research focused on Construction Robotics, working under the guidance of Dr. Arash Adel, Assistant Professor in the School
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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