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integration of machine learning into quantum chemical methods and molecular simulation. A particular focus will be on the development, application, and evaluation of modern machine-learning methods
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opens the door to many new experiments. Through the ErUM-Data and LEAPS-funded proposals, we develop resource-efficient and reliable Al and machine learning methods to advance ML for photon science
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Semiconductor Laboratory of the Max Planck Society (HLL), Garching | Garching an der Alz, Bayern | Germany | 16 days ago
earliest possible date on a full-time basis (39 hours/week). Your responsibilities Develop and optimize quantum sensor concepts based on qubit systems and quantum effects. Perform advanced numerical
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Postdoc (f/m/d) Analysis of Supercritical Carbon Dioxide Fluid Properties: Experimental Character...
description: Postdoc (f/m/d) Analysis of Supercritical Carbon Dioxide Fluid Properties: Experimental Characterization, Numerical Modeling and Sensor Development With cutting-edge research in the fields of
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. The Ocean Dynamics Research Unit at GEOMAR employs numerical ocean and Earth system models, observational data, theory, and novel data science methods to advance our understanding of the physical
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Heidelberg Institute for Theoretical Studies (HITS gGmbH) | Heidelberg, Baden-Württemberg | Germany | 29 days ago
on the processing, structuring, and analyzing of large amounts of complex data and the development of computational methods and software. The research fields range from molecular biology to
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Heidelberg Institute for Theoretical Studies (HITS gGmbH) | Heidelberg, Baden-Württemberg | Germany | about 1 month ago
complex data and the development of computational methods and software. The research fields range from molecular biology to astrophysics. Your research agenda should overlap with one or more research areas
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deformation mechanisms at high temperature Comprehensive knowledge and practical experience in mechanical testing of high-temperature materials, including various strain measurement methods Comprehensive
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-ice products, trajectory analysis or numerical modelling Experience with large geospatial datasets, reproducible workflows and uncertainty analysis Experience applying machine-learning or AI methods
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Discipline Computing , Engineering , Life Science , Mathematics Job Type Postdoctoral , Researcher Employment - Hours Full time Duration Fixed term Qualification PhD Sector Academia Apply on website (This