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simulation, data reconstruction and analysis, machine learning and AI applications, detector construction and operation, and R&D with test stands and test-beam experiments. Successful candidates will have the
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astrophysics (completed by the start date), demonstrated experience in large-scale structure simulations, working knowledge of applications of machine learning techniques in cosmology and/or astrophysics (in
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(CHaRMNET) , housed at Michigan State University , seeks to hire a postdoctoral research associate in the broad area of computational physics (https://charmnet-mmicc.github.io ). The mission of CHaRMNET is
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. Please apply at https://bnl.wd1.myworkdayjobs.com/Externa/job/Upton-NY/Postdoctoral-Researcher-in-Quantum-Algorithms-and-Quantum-Information-Science-for-Quantum-Field-Theoretic-Applications-to-Condensed
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continued funding and satisfactory performance. Responsibilities The primary responsibilities of this position are to: work closely with postdoctoral researchers and graduate students to train macaques
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resolution with minimal supervision. Provide operational oversight across HR operations, academic affairs, postdoctoral affairs, finance coordination, and general administration. Monitor division activities
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minimizing computational and energy costs. The proposed approaches will rely on machine learning methods applied to image analysis, with the objective of enabling early identification of at risk areas and
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strengths in experimental soft condensed matter physics or biophysics research within the department. Candidates with expertise in computational physics, including machine learning, applied to study soft
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teaching and learning in higher education and get the opportunity to learn Swedish through the University’s Swedish language courses for new international staff. As you prepare to move to Sweden, we offer
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develop methods to disentangle dynamic, multiscale ecological signals from large, heterogenous observational data. This work lies at the interface of statistics, machine learning/AI, ecology, and