1,561 machine-learning "https:" "https:" "https:" "https:" "https:" "The Francis Crick Institute" positions in Germany
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W3 Endowed Professorship for “Hemodynamic Modeling in Atherosclerosis- (f/m/d) KSB Foundation W3 end
exclusively in electronic form and in accordance with the “Applicant Guideline Format Template” and the “Applicant Form” of the Medical Faculty Mannheim for W3 professorships (see https://www.umm.uni
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modeling and model–data fusion techniques, and developing faster, machine-learning–based tools that can stand in for slow model simulations. These tools will be used to test how model parameters influence
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submitted online via the appointment portal of Heinrich Heine University Düsseldorf: https://berufungsportal.hhu.de If you have any questions regarding the position, in particular concerning the bioeconomy
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, knowledge-based societies. Specialised research agendas have been grouped into four thematic pillars at BAGSS: Education, Personal Development, and Learning from Early Childhood to Adulthood Educational and
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, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular geometries. Current simulation-based approaches require complex 3D meshes and are often too slow
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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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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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Max Planck Institute for the Physics of Complex Systems • | Dresden, Sachsen | Germany | about 7 hours ago
. 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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postdoctoral research track record and are expected to build and lead a group to pursue a high-quality research programme. Current research interests within the Division of Condensed Matter Theory (https
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part of the Forschungsverbund Berlin (https://www.fv-berlin.de/) and part of the Leibniz Association (https://www.leibniz-gemeinschaft.de ). You can find more details on the institute webpage: https