61 programming-"the"-"DAAD"-"EURAXESS"-"IMPRS-ML"-"O.P"-"Prof"-"U.S" positions at Leibniz in Germany
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of selection for this job advertisement. Attention is hereby drawn to the risks involved in sending documents electronically. Further information on TROPOS and the doctoral program can be found on the homepage
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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
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to apply for a position as Data Expert for the management of high-frequency measurements and other data collected as part of IGB’s long-term monitoring program, large-scale enclosure experiments in the IGB
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functionalities (GUI and web-service) Participate in field work organization, sampling plan establishment and in-situ data acquisition Your Profile PhD in environmental sciences or computer science, with a proven
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of the PhD programs at the University of Göttingen (see www.gauss.uni-goettingen.de ). The project is highly collaborative and will benefit from working with experts in computer and data sciences, behavioral
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. Programming experience in Python and Java; strong Java skills are especially desirable. Proficiency in English, with excellent skills in both writing and speaking. We offer: An interdisciplinary working
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on the research group/work area: As a biology/chemistry laboratory assistant (m/f/d) you will support the Program Center for Plant Metabolomics and Computational Biochemistry MetaCom established in 2023. We deal
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, excellent analytical skills experience in research software engineering, programming experience (e.g. R, GAMS) active interest in energy systems analysis and climate change mitigation We expect: the ability
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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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the structured Junior Faculty Development Program and have the opportunity to teach at LMU Munich engage with international top-class economists within our CESifo network with over 2,000 members from all over