31 parallel-computing-numerical-methods Postdoctoral positions at The University of Arizona
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on semiconductor devices for next-generation computing, including quantum emitters and neuromorphic transistors. The ideal candidate should have a strong background in solid-state physics, electronic materials
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projects in AI-driven GNC for space robotics systems, leveraging both classical optimization techniques and modern machine learning methods. Lead and support research projects in AI-driven solutions for SDA
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research projects in AI-driven GNC for space robotics systems, leveraging both classical optimization techniques and modern machine learning methods. Lead and support research projects in AI-driven solutions
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Qualifications PhD in the field of Planetary Science, Astronomy, Geoscience, or a related discipline by the start date of the position. Experience with numerical modeling and programming. Experience with modelling
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, Astronomy, Geoscience, or a related discipline by the start date of the position. Experience with numerical modeling and programming Experience with modelling the climate, photochemistry, or escape
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experiments. Supervisory responsibilities and training for laboratory personnel in procedures and methods. Participate in the departmental intellectual community through attendance at journal clubs, seminars
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. This includes evaluating research data, revising, improving and monitoring techniques, and developing innovative methods and approaches to solve scientific problems while meeting goals and objectives in
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Highlights The University of Arizona's Department of Psychology invites you to apply to the role of Postdoctoral Research Associate I. This position will develop and refine computational approaches, analyses
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of Arizona's Department of Psychology invites you to apply to the role of Postdoctoral Research Associate I. This position will develop and refine computational approaches, analyses, and neural circuit models
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, Optical Sciences, and Planetary Sciences. We provide direct access to various world-class observational and computational facilities for ground-based radio and optical observing. Observational facilities