156 web-development-"https:"-"https:"-"https:"-"Mines-Paris-PSL" PhD positions in Germany
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Postdocs, assistant professors, junior research group leaders Vocational training at the University of Tübingen International researchers Excellent research conditions Values Career development Benefits
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Our »Optical Quantum Metrology« research group develops innovative measurement technologies for clinical and industrial applications based on the ability to measure individual the oscillations
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a unique range. Institute of Material and Process Design The Institute of Material and Process Design is dedicated to the sustainable and ecological development of innovative materials and
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international conferences and receive career development support. The language of the PhD Program is English. Full funding is provided for the duration of the PhD, either by the DKFZ or by third-party sources
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of artificial intelligence, materials science, and sustainable chemistry to develop new approaches for the recovery of rare earth elements. Rare earth elements are essential for modern technologies, including
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Max Planck Institute for Political and Social Science, Göttingen | Gottingen, Niedersachsen | Germany | 3 days ago
findings in high-quality, peer-reviewed academic journals Develop a research proposal and pursue a PhD degree Organize and actively participate in academic workshops, conferences, and seminars Engage in
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well as early embryonic development – in both health and disease. To this end, we combine interdisciplinary research in molecular, structural, and cell biology as well as in physiology, biophysics, epi /genetics
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education with training and courses in cybersecurity, and is seeking suitable candidates. Heilbronn is one of the locations in Germany that is currently developing most dynamically in the fields of innovation
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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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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