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welcomes applications from individuals with a master’s degree in the following fields: Computer Science Mathematics Natural or engineering sciences or an equivalent degree, interested in High-Performance
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Description The Karlsruhe Institute of Technology (KIT) and the University of Stuttgart offer within the German Research Council (DFG)-funded Research Training Group (RTG) 3076 “Sustainable
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support reduction in model uncertainties associated with the estimates of the full N budget at the European continental scale and improve knowledge on the mechanisms governing N translocation publication
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
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against known target antigens and identify novel targets of autoimmune responses to stratify patients, (2) recognize mechanisms of actions of immunomodulatory drugs applied to patients with MS and related
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to mastering the great challenges facing society today. At the Helmholtz Institute Freiberg for Resource Technology (HIF), innovative technologies for the circular economy are developed to provide and use
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. For TUD diversity is an essential
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Description Reference number 3702 Pay grade E 13 TVöD Place of work Berlin Limited for three years Application deadline 10.06.2025 Apply here BfR job [jsp?id=003702en&dbv3_man=allgemein-Datei
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on methods development in machine learning, uncertainty quantification and high performance computing with context of applications from the natural sciences, engineering and beyond. It is embedded in
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people, society, culture, the environment and technology — supported by experts in administration, IT and tech. Become part of LMU Munich! In the course of your application for an open position at Ludwig