145 phd-computational-intelligence-"Multiple" Postdoctoral positions at Princeton University
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their potential to explore, discover and understand emergent behavior of complex quantum matter. The Moore Postdoctoral Scholars in Theory of Quantum Materials program is an integral part of EPiQS and supports
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
The Atmospheric and Oceanic Sciences Program at Princeton University, in association with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL), seeks a postdoctoral or more senior research scientist
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The Program in Latin American Studies (PLAS) is seeking candidates from any discipline who are engaged in scholarly research on topics related to Latin American Studies, including the Caribbean and
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availability of funding. The anticipated start date for the position is June 1, 2025. Individuals with a strong theoretical background who expect to obtain a PhD in a related field (e.g., statistics
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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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competition for the 2026-2027 Harry Hess Fellows Program. This honorific postdoctoral fellowship program provides opportunities for outstanding geoscientists to work in the field of their choice. Research may
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, molecular biology, biochemistry, physics, computer science, and genetics. The term of appointment is based on rank. Positions at the postdoctoral rank are for one year with the possibility of renewal pending
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at the postdoctoral rank are for one year with the possibility of renewal pending satisfactory performance and continued funding; those hired at more senior ranks may have multi-year appointments. A PhD is required
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research levels in the areas of neuroscience, psychology, molecular biology, biochemistry, physics, computer science, and genetics. The term of appointment is based on rank. Positions at the postdoctoral
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develop and apply computational approaches for mass spectrometry data, with artificial intelligence/machine learning (AI/ML) being a major focus. They will have an opportunity to lead and contribute to a