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Field
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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
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environmental toxicology, you will have the opportunity to advance Adverse Outcome Pathways (AOPs) and support the development of New Approach Methods (NAMs), thereby contributing to a more sustainable and
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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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Modeling for Hydrogen Storage (m/w/d, E13 TV-L, 75%) Responsibilities: Develop a pore-scale model for two-phase flow of hydrogen gas and brine Develop a bioreactive-transport model and couple it with the two
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Description The interdisclipinary and highly international PhD program Medical Research in Epidemiology and Public Health ( PhD EPH ) at the Institute for Medical Information Processing, Biometry
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13.11.2025, Academic staff Join the team of Prof. Stephen Schrettl at the TUM Campus Weihenstephan to develop stimuli-responsive thermoplastic elastomers using supramolecular interactions. We
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Institute for Industrial Mathematics ITWM, we see our task as further developing key technologies, providing innovative impetus and implementing these in practice together with industry partners. In doing so
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(Learning, Educational Achievement, and Life Course Development) to design and conduct studies. What We Expect from You We are looking for a candidate with a strong academic background and a keen interest in
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team from Friedrich Schiller University Jena, the Max Planck Institute for Biogeochemistry, the Jena University Hospital, and the Senckenberg Institute for Plant Form and Function jointly develops AI
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funded by the university with excellent opportunities for both research and career development. The newly established research group in Particle and Fiber Technology for bio-based Materials, led by Prof