58 programming-"the"-"DAAD"-"EURAXESS"-"IMPRS-ML"-"U.S"-"Prof"-"Nord-University" positions at Leibniz
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The Kiel Institute for the World Economy is seeking a Program Coordinator – Geoeconomics Training (Berlin Office) We are looking for a highly motivated and organized individual to support the high
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The Leibniz Institute for Prevention Research and Epidemiology – BIPS in Bremen, Germany, invites applications for a three-year PhD program in epidemiology, statistics, and prevention and
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the program coordinators ELIGIBILITY Applications are welcomed from outstanding scholars in the humanities, political and social sciences, education sciences or law, with a project firmly located in the field
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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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functionalities. 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
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computational approaches Beyond technical training, you will join a dynamic, collaborative and international team and receive structured support through our PhD training program. Your Profile: Master’s degree
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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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, and research-based public and educational work. Over the next ten years, the Museum für Naturkunde will realise its plan for the future. New laboratories and jobs for cutting-edge research will be
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Oceanography, Marine Observation, Marine Chemistry, Biological Oceanography and Marine Geosciences departments work together in an interdisciplinary joint research programme. What will be your tasks? Within
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programming skills (Python; ideally with experience in databases and cloud environments). Experience in image analysis and computer vision, ideally in the context of biological samples or materials science