1,538 machine-learning "https:" "https:" "https:" "https:" "The Open University" positions in Germany
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for three letters of reference to be submitted via https://www.pks.mpg.de/reference . Please submit all materials by April 3rd, 2026. Apply now Prof. Dr. Frank Jülicher Max Planck Institute for the Physics
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. For further information about the graduate school, please visit: https://www.imprs-pks.mpg.de/ Course organisation The thesis work, which must be completed in about three years, will be complemented by a
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The semester contribution is 182 EUR per semester. For further details, visit the Office of the Registrar website: https://www.uni-ulm.de/en/study/organisation/tuition-fees/ . Costs of living The cost of living
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at the interface of computational systems biology and mathematics/statistics with a strong attitude to open research software development. For more information visit http://www.fz-juelich.de/ibg/ibg-1/modsim
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, TRUMPF, SCHOTT or JENOPTIK, to name just a few. Interdisciplinarity is an inherent part of our philosophy. ASP provides a variety of courses that help students acquire additional knowledge in complementary
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of immunology, microbiology, virology, cell biology and molecular biology. For more information, please see https://www.mhh.de/hbrs/zib MD/PhD Molecular Medicine:The program aims to form a bridge between Science
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 months ago
of Munich. At our institute you will find a scientifically stimulating international environment. The Theis Lab has a long-standing reputation for pioneering machine learning and AI methods in molecular
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by colloids, as well as methods for immobilizing these ions. Modern methods of theoretical chemistry (first principles, kinetic Monte Carlo, machine learning) will be applied to investigate diffusion
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of the science location Cottbus-Senftenberg and increase its visibility. Through innovative research and new teaching and learning formats, the BTU is shaping the future: with scientific findings and practice
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the collected data in accordance with FAIR standards for collaborative use within the Decode project and for machine learning applications Presentation of results in team meetings and preparation of a