171 engineering-computation "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Leibniz
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The Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB) is a pioneer and a driver of bioeconomy research. We create the scientific foundation to transform agricultural, food
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The LIT - Leibniz Institute for Immunotherapy (foundation under civil law) (https://lit.eu ) is a biomedical research center in the UNESCO-world heritage city of Regensburg. Our objective is to
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research projects communication of research results in stakeholder dialogues with industry actors and policy makers Requirements: Master’s Degree or PhD in Computer Science, Physics, Engineering, Mathematics
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Modelling Center (SDMC), Geobiodiversity Information and Data Management team at the Senckenberg Research Institute and Natural History Museum Frankfurt, starting as soon as possible: Programmer for
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further both professionally and personally in an interdisciplinary setting. Position The DWI is looking for a Postdoctoral researcher to develop new granular biomaterials for tissue engineering purposes
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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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and technologies. The institute employs an average of 500 people from over 40 nations and, in addition to its scientific tasks, is dedicated to promoting young scientists and engineers. Further
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science, composite engineering, interfacial mechanics, and chemical polymer design to eastablish a new binder type that is suitable for industrially scalable dry electrode processing. The successful
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mentorship in the career development of the student. The program language is English. We offer: a highly international research environment and state-of-the-art technology four years of full funding through
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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