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its frontier by integrating mechanistic artificial intelligence with robotic additive manufacturing systems to enable intelligent metal processing. The research will develop physics-informed and data
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University Belfast, University of Manchester, University of Edinburgh and University of Bristol. BioAID will train the next generation of scientists in Artificial Intelligence and data-driven approaches
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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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sustainable chemical and biocatalytic process development. Vision We are seeking a motivated PhD student to develop a strong experimental understanding of enzyme selectivity when processing mixed biomass
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I work on the study of massive and supermassive stars (10-100,000 solar masses); the first generations of stars in the universe (Pop III stars); evolution of rotating massive stars and the spin
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the Universe, e.g., where did the carbon in your bodies come from? What type of star made it? Generally we study stars in their final phases of evolution, when they become ageing red giants which is when
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The Faculty of Engineering, Department Electronics and Informatics, Research Group Electronics and Informatics: Research – Development - Innovation is looking for a PhD-student with a doctoral grant
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systems, and digital twin technologies. The project will contribute to the development of intelligent collaborative machines for next-generation manufacturing systems. What will you be doing? Investigating
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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