31 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" research jobs at University of Lund in Sweden
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the tools of computational biophysics. Our research group is highly interdisciplinary, using everything from quantum chemistry, conventional and enhanced sampling molecular dynamics simulations, generative AI
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sciences, bedrock geology, paleontology, physical geography, biodiversity and ecosystem science, remote sensing, Geographic Information Science (GIS), and computational science for health and environment
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IV is a world-leading synchrotron facility, providing researchers with cutting-edge tools to advance knowledge across materials science, life science, chemistry and physics. Join us for a unique chance
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Description of the workplace We are looking for a talented, motivated, and creative researcher with experience in intestinal cell biology, interested in applying this knowledge to bioengineering
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, numerical stability, and real-time data assimilation within reduced-order models. Primary application areas include computational physics and climate modeling. Qualification requirements Requirements are: A
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Description of the workplace The Division of Secure and Networked Systems at the Department of Electrical and Information Technology conducts broad research in cryptography, computer security
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Description of the workplace The position will be placed at the division of Computer Vision and Machine Learning at the Centre for Mathematical Sciences. The Centre for Mathematical Sciences is an
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Andersson, Associate Professor at LUCSUS, and Hilary Faxon, Assistant Professor of Environmental Social Science at the University of Montana. Position Instructions Research Focus (90%) The postdoc position
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, b) suggest desirable, viable, and achievable perennial alternatives to annual monocultures, and c) develop a strategy for change. We complement social science expertise with that of plant breeding
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. The postdoctoral scholar will take a leading role in the the BeeSYNC project, focusing specifically on: Computational Natural History. The researcher will develop deep learning models to predict individual bee age