173 web-programmer-developer-"https:"-"https:"-"https:"-"Mines-Paris-PSL" PhD positions in Germany
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available in the further tabs (e.g. “Application requirements”). Programme Description International students from all subjects (except the medical disciplines) who have been admitted to a doctoral programme
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University of Education Freiburg • | Freiburg im Breisgau, Baden W rttemberg | Germany | about 19 hours ago
in English (10%). Participants can choose to write their exposé in either language. Mode of study 50 / 50 online and on-site Programme duration 6 semesters Beginning Only for doctoral programmes: any
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University of Veterinary Medicine Hannover • | Hannover, Niedersachsen | Germany | about 19 hours ago
Degree PhD or (if applicable Dr rer nat) Course location Hannover Teaching language English Languages English (100%) Full-time / part-time full-time Programme duration 6 semesters Beginning Winter
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communication in the labs is predominantly English. Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline Students pursuing a doctoral degree can apply throughout
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–2 years, total 3–4 years) on deep learning for medical imaging. This DFG-funded project focuses on developing deep learning methods for medical and scientific imaging. The Professorship for Machine
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work at the interface of artificial intelligence, materials science, and sustainable chemistry to develop new approaches for the recovery of rare earth elements. Rare earth elements are essential
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quantum remote sensing of atoms in the MLT. The new, flexible dye laser systems require hands-on work in optics (spectroscopy, laser physics) and software development for lidar control. Data evaluation is
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collect and analyse health data, identify risks, advise government and experts, and develop new scientific methods. We are based in Berlin, Wildau and Wernigerode. Get started now Apply directly through the
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Job Advertisement Job-ID 04/2026 At the Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI), we investigate the pathobiology of microorganisms and develop new natural
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reinforcement learning methods can be used to solve multiobjective discrete and combinatorial optimization problems. The goal is to develop new algorithmic approaches that combine ideas from machine learning