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science or related fields Solid knowledge in semiconductor materials, epitaxy, and thin film characterization (experience in any of these areas is a plus) Interest in quantum information science and quantum
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The Leibniz Institute for Tropospheric Research is a research institute of the Leibniz Association and an internationally renowned institute in the field of aerosol and cloud research. The Atmospheric Chemistry Department (ACD) is looking for an experienced and motivated scientist to set up and...
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Computing and Data Science, which is currently being established at JLU. At JLU, the professorship contributes to teaching at a rate of two semester hours per week. You will be responsible for teaching
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. This highly collaborative project, jointly investigated by PDI, TU Munich, University of Münster and HTW-Berlin, is funded by DFG within the priority programme SPP2477 "Nitrides4Future". The motivation is to
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scenarios and analyse their data to validate the coupled biogeodynamic model. to interact with members of the biogeodynamics modelling group and program area 4 at regular meetings as well as with others from
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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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(TIB ) – Leibniz Information Centre for Science and Technology – Program Area C, Research and Development, is looking to employ a Project manager in the context of the European Collaborative Cloud
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external research funding through national and international funding agencies Active involvement in assessment and evaluation program of IFW What we offer: The research group will be supported by dedicated
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Computer-adaptive methods and multi-stage testing Application of machine learning in psychometrics Predictive modeling of educational data Methodological challenges in cohort comparisons Advanced meta
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Leibniz Institute of Plant Biochemistry (IPB) in Halle (Saale), Germany, where we are offering a fully-funded PhD position within the DFG Priority Programme SPP2363: “Molecular Machine Learning”. About the