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Field
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National Laboratory is hiring an Experimental Physicist Postdoctoral Fellow within the ESnet division. We are launching a new multi-platform quantum computing and networking effort within ESnet, in
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, optogenetic and electrical stimulation, neuromodulation and lesion-based validation, signal processing, computational network analysis, and dissemination of results. The postdoctoral associate will work with
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at the University of Arizona is seeking a postdoctoral research associate to develop theoretical and computational approaches for understanding how biological neural networks organize activity through nonlinear
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placed on multi-omics data integration, statistical modeling, biomarker discovery, pathway/network analysis, and development of reproducible computational workflows. This position provides an excellent
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: Ph.D. in Physics, Computer Science or closely related areas Preferred: Demonstrated strength in one or more of the following. - Quantum many-body numerics: tensor-network methods, variational Monte Carlo
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to the ELLIS network. Your work will benefit from interactions with computational, biological, and clinical groups across the institute, alongside opportunities for international collaboration, research
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 8 hours ago
Posting Description POSTDOCTORAL ASSOCIATE, Center for Sustainability Science & Strategy, to join an international team of scientists working as part of the global AGAGE network and a large
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computational methods in the fields of theoretical chemistry/physics, particularly for molecular quantum dynamics, electron dynamics and/or tensor network states. Applicants are not expected to have prior
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to the ELLIS network. Your work will benefit from interactions with computational, biological, and clinical groups across the institute, alongside opportunities for international collaboration, research
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interdisciplinary research program. The project also provides excellent opportunities to develop expertise in AI for biodiversity science while building a strong publication record and collaborative network