19 computational-physics "https:" "https:" "https:" "https:" "Dr" positions at Leibniz in Germany
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of an unsuccessful application. Further information on data protection can be found here: https://www.atb-potsdam.de/en/data-protection-declaration-for-the-application-process .
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Project & Group: You will work in the Computational Chemistry group, led by Dr. Mehdi D. Davari, an interdisciplinary team focused on accelerating chemical and biological discovery using computational tools
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of an unsuccessful application. Further information on data protection can be found here: https://www.atb-potsdam.de/en/data-protection-declaration-for-the-application-process .
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organizational levels of the brain – from molecular and cellular processes to complex neuronal networks and behavior. The Department Cellular Neuroscience of Prof. Dr. Stefan Remy in association with the Research
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-dresden.de . The position will remain open until filled. For further information, please contact: Dr. Hans-Joachim Grafe (h.grafe(at)ifw-dresden.de ). https://www.ifw-dresden.de
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the application and selection process, please refer to the privacy policy on our homepage at https://www.senckenberg.de/en/imprint/ Please visit our website at www.senckenberg.de for further information about the
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The Bernhard Nocht Institute for Tropical Medicine (https://www.bnitm.de/en ) is the largest Research Institute for Tropical Medicine in Germany and is the National Reference Centre for Tropical
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part of the Forschungsverbund Berlin (https://www.fv-berlin.de/ ) and the Leibniz Association (https://www.leibniz-gemeinschaft.de ). You can find more details on the institute webpage: https://www.ikz
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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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Programme for Women Professors Leibniz Collaborative Excellence Leibniz Transfer funding programme Selection process Funded Projects Open science OPEN SCIENCE Open Access Open and FAIR Data Citizen Science