773 data-"https:" "https:" "https:" "https:" "https:" "Simons Foundation" scholarships in Germany
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staff position within a Research Infrastructure? No Offer Description 2 Doctoral Researchers (f/m/d) in Computational and Data Science at KIT https://www.kcds.kit.edu/72.php Application deadline: January
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12.01.2026, Wissenschaftliches Personal The Professorship of Machine Learning at the Department of Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13 100%; initial
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PhenoRob experimental field sites, equipped with Eddy Covariance towers, to generate digital twins and quantify model uncertainties. For further information visit our website http://www.fz-juelich.de/ibg/ibg
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) conferences Unique HDS-LEE graduate school program (including data science courses, soft skill courses and annual retreats) https://www.hds-lee.de/about/ Qualification that is highly welcome in industry Further
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opportunity to be part of the BaySensAI project (https://go.ur.de/baysenseai ) and develop an AI-based prediction and monitoring system for biodiversity data as part of the Bavarian research network bayklif2
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Information Work Location(s) Number of offers available1Company/InstituteUniversity of RegensburgCountryGermanyGeofield Contact City Regensburg Website http://www.uni-regensburg.de/biologie-vorklinische-medizin
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, the Helmholtz Association is Germany's largest scientific organisation. Where to apply E-mail karriere@fz-juelich.de Website https://www.fz-juelich.de/en/careers/jobs/2025D-174 Requirements Additional Information
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1Zipcode80539CityMünchen Contact details E-Mail: recruiting_cens at physik.uni-muenchen.de Web: https://www.cens.de Legal notice: The information on this website is provided to the DAAD by third parties. Despite careful
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. The positions are for a fixed term of three or four years (please check the details in the project link). Further information on the project is available at https://www.fz-juelich.de/de/ibg/daten-ki/casa-sdl-dbe
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facilities, such as synchrotron and neutron sources. Details of the research activities as well as publications and background information are available on the group website: https://www.soft-matter.uni