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cavity structure enable a mechanism for the controlled Bose-Einstein condensation at room temperature, with applications in all-optical computing Nature Photonics 13 378 (2019) and quantum sensing Nature
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(SUSTAIN) research unit, the LCSA group aims to support industry, policy, and society by developing science-based, sustainability methods and computational tools for life cycle sustainability assessment
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About us The Department of Informatics is seeking to appoint a postdoctoral research fellow with an excellent track record in knowledge graphs, semantic technologies, and machine learning. Topics
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Area of research: Scientific / postdoctoral posts Job description: Postdoc positions in Computational Health (f/m/x) 102675 Full time 39 hrs./week Neuherberg near Munich Partial Home Office possible
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one of the following: Biomedical Informatics, Computational Linguistics, Computer Science, Engineering, Health Services Research, or a related discipline Excellent written and oral communication skills
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to identifying and interpreting trends in regional-to-local scale signals and extreme events. Large ensembles of climate simulations are a key tool in such applications, but the computational cost of producing
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and great opportunity of interdisciplinary training in machine learning and functional genomics. The project combines cutting-edge computational approaches, especially state-of-the-art machine learning
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tool in such applications, but the computational cost of producing ensembles at high enough resolution and with enough members to adequately sample internal variability and capture rare events is a
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strong work ethic Ability to effectively communicate both orally and in writing Ability to conduct clumped isotope measurements Working knowledge of Python and other programming language used for clumped
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Location: Shanghai, Shanghai 201210, China [map ] Subject Area: theoretical and computational studies of condensed matter physics / theoretical and computational studies of condensed matter physics Appl