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yield new insights into food-effector systems, sophisticated and tailored computational methods are needed. This project aims at combining probabilistic machine learning methods with prior knowledge in
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increasing atmospheric pollution by space emissions. On the regional level, we closely cooperate with the University of Rostock and are an integral part of the teaching program of the Institute of Physics
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with the research groups at the DPZ and the Göttingen Campus. PhD projects cover a broad range of topics. A structured PhD program will offer many opportunities for the development of scientific and
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funded by the Leibniz Collaborative Excellence program and conducted in cooperation with the Institute of Space Systems at the University of Stuttgart. The position includes setting up a multi-metal lidar
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
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Germany. It maintains close cooperative relations with various partners in Germany and abroad. We offer a structured doctoral training program, manifold activities, exciting research topics, a highly
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tools to evaluate the ecological role of parasites and virus in the Elbe Estuary. The work is carried out as part of the DFG Graduate Program “Biota-Mediated Effects of Carbon Cycling in Estuaries
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as a PhD student in TUM’s graduate programme. Key responsibilities: Co-designing research methodology/approaches to study the political economy of climate mitigation policies in low- and middle-income
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will be given the opportunity to develop a doctoral thesis with extensive support through the CBBS graduate program (https://cbbsgp.med.ovgu.de ). Your profile: MSc in Neuroscience, Biology, Biomedical
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developing a digital twin, employing machine learning and numerical computations of atomistic processes. At IKZ, a kinetic Monte Carlo tool has been developed in the programming language julia. This allows a