688 professor-computer-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr" Postdoctoral positions in United States
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Field
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Department of Anesthesia is seeking a highly motivated Postdoctoral Scholar to join a research program focused on advancing our understanding of G protein–coupled receptor (GPCR) signaling in cardiovascular
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The Mathematics and Computer Science Division (MCS) at Argonne National Laboratory is seeking a Postdoctoral Appointee to conduct cutting-edge research in scientific machine learning, focusing
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Laboratory is a world leader in catalysis, polymer upcycling, separations, computational chemistry, rare earths, quantum materials, synthesis, and additive manufacturing. Ames Laboratory is the leader
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Postdoctoral Fellow in the area of quantum mathematics, especially quantum topology, including skein theory, topological quantum field theory, and applications to quantum computing. Position Number 4C2387
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contribute to program development, mentor trainees, and support faculty in advancing research and educational objectives. This position is ideal for a motivated researcher seeking to develop expertise, drive
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Health Equity Research Center, staff from the Electrophysiology Core, and the Department of Biological Sciences to plan, develop and carry out a research program in the molecular basis of neurodegenerative
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consideration, all application materials must be received by March 13, 2026. The responsibilities of this position will be to lead data collection and analysis efforts on grant-funded program-related research
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computational scientists to advance a next-generation, user-friendly, agentic AI platform for automated data analysis, interpretation, and user interactions. The appointment is expected to last two years and the
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broader program activities. Required Minimum Qualifications: Ph.D. in experimental Material Science, Condensed Matter Physics, Chemistry or closely-related disciplines. Preferred Qualifications: Experience
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at a fraction of the computational cost. Recently Argonne successfully implemented, AERIS, a state-of-the-art seasonal-to-subseasonal (S2S) weather model AI model. A successful candidate will collaborate