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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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output of the neutral atmosphere dynamics and chemistry of UA-ICON. A requirement will be to install TIE- GCM at the supercomputer of the German Climate Computing Centre, where UA-ICON is running
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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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The mission of the Leibniz Centre for Agricultural Landscape Research (ZALF) as a nationally and internationally active research institute is to deliver solutions for an ecologically, economically and socially sustainable agriculture – together with society. ZALF is a member of the Leibniz...
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interests, successful applicants will have the following qualifications: Completed or soon-to-be-completed doctorate in one of the following or related disciplines: information science, science studies
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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