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Aerospace Centre (DLR), will conduct research on 20 research topics with 25 PhD candidates within the next years. The following main research goals are pursued by this Center: (1) develop a new set of
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Frankfurt School of Finance & Management • | Frankfurt am Main, Hessen | Germany | about 16 hours ago
Degree Dr rer pol Course location Frankfurt am Main Teaching language English Languages The doctoral programme at Frankfurt School is entirely in English. Full-time / part-time full-time Programme
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Positions 1 Time Span as soon as possible for 3 years Application Deadline 15 Jun 2025 Financing yes Type of Position Full PhD Working Language English German Required Degree Master Areas of study Automation
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institutes in Berlin which are funded by the federal and state governments. The research institutes belong to the Leibniz Association. WIAS invites applications as PhD Student Position (f/m/d) (Ref. 25/11) in
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train connections to the North Sea coast, Hamburg, Berlin, the Netherlands, and Denmark. PhD Program: Research component The focus of the PhD Program and of each individual PhD thesis is on the research
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the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission
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which are funded by the federal and state governments. The research institutes belong to the Leibniz Association. WIAS invites applications as PhD Student Position (f/m/d) (Ref. 25/11) in the Leibniz
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Imaging of mouse bone marrow Analyses of clinical data and correlation with wet lab findings Your profile Master degree (or similar) in molecular biology, biomedicine, biotechnology, bioinformatics or a
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Work group: Institute of Coastal Ocean Dynamics Area of research: Other Part-Time Suitability: The position is suitable for part-time employment. Starting date: 12.06.2025 Job description: PhD
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of neural hydrology, where hydrological models are directly learned from data via machine learning (e.g., LSTM neural networks, [1]). Initially, these models ignored all physical background knowledge and did