161 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "Dr" positions at Leibniz
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WHO Collaborating Centre and member of the Leibniz Research Association. The Molecular Parasitology group of Dr. Joachim Michael Matz at the Bernhard Nocht Institute for Tropical Medicine in Hamburg is
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Naturkunde will realise its plan for the future. New laboratories and jobs for cutting-edge research will be created. At the same time, one of the world's most comprehensive natural history collections with
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(TIB ) – Leibniz Information Centre for Science and Technology – Program Area D, Open Research Knowledge Graph, is looking to employ a Research Software Engineer for “Physics Ask” (m/f/d) to work in Team
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research project, and the training programme is available on the RTG webpage (https:// www.uni-goettingen.de/rtg2906). Applications are due by 15.01.2026. We ask you to submit your written application as a
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IX). Contact and Application For any questions on this job opportunity, please contact: Prof. Dr. Katharina Scherf, k.scherf.leibniz-lsb(at)tum.de , Dr. Melanie Köhler, m.koehler.leibniz-lsb(at)tum.de
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The German Maritime Museum – Leibniz Institute for Maritime History (DSM) is one of eight research museums belonging to the Leibniz Association. Its exhibition and research programme focuses
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The German Maritime Museum – Leibniz Institute for Maritime History (DSM) is one of eight research museums belonging to the Leibniz Association. Its exhibition and research programme focuses
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their immunogenicity; Develop analysis strategies for large data sets and correlation matrix using programming languages (R, Python, SQL, etc.); Scientific supervision of undergraduate and doctoral
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the programme area ‘Plant Adaptation’ (ADAPT). The aim of the research project is to understand how intrinsically disordered regions (IDRs) and prion-like domains (PLDs) control the temperature responsiveness
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, statistics, and financial mathematics. Website: https://sites.google.com/view/trr388/ Project B03 of SFB/TRR388 concerns numerical methods for the treatment of stochastic optimal control problems and backward