597 web-developer-"https:" "https:" "https:" "Newcastle University" PhD positions in Germany
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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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of autonomous vehicle systems. The AVS Lab's research is motivated by the goal of developing the next generation of intelligent autonomous vehicle systems. We are seeking for highly motivated and enthusiastic PhD
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research project, and the training programme is available on the RTG webpage (https:// www.uni-goettingen.de/rtg2906). Applications are due by 15.01.2026. We ask you to submit your written application as a
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academic supervision from Prof. Henkel. You will participate in the doctoral program of the TUM School of Management; after about a year, there is the possibility to apply for the School’s Academic Train-ing
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of autonomous vehicle systems. The AVS Lab's research is motivated by the goal of developing the next generation of intelligent autonomous vehicle systems. We are seeking highly motivated and enthusiastic PhD
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Max Planck Institute for Political and Social Science, Göttingen | Gottingen, Niedersachsen | Germany | 1 day 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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or see http://www.dpz.eu. For more information about the Leibniz Association see www.leibniz-gemeinschaft.de
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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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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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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