43 computer-science-data-warehouse-"https:" Postdoctoral positions at Leibniz in Germany
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, environmental and/or ecological sciences ability to work with large environmental and ecological data sets, incl. empirical, remote-sensing and simulated model data knowledge in programming languages (UNIX, C
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application. For more information, please visit https://www.kmk.org/zab/zeugnisbewertung.html . By submitting your application, you consent to the processing of your personal data for the purpose
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application. Information on the protection of your personal data can be found at https://leibniz-ifl.de/en/functions/data-protection-job-advertisement The IfL advocates professional equality for all genders
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The LIT - Leibniz Institute for Immunotherapy (foundation under civil law) (https://lit.eu/ ) - is a biomedical research center focusing on translational immunology in the fields of cancer
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The Leibniz-Institut für Kristallzüchtung (IKZ) is a leading research institution in the field of science & technology as well as service & transfer of crystalline materials. Our goal is to enable
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– Kellnerweg 4 – 37077 Göttingen. For questions about the position, please contact Dr. Claudia Fichtel (claudia.fichtel(at)gwdg.de ). For further information please contact phone: +49 (0)551-3851-105 or see http
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For more information on the institute, please see: https://www.leibniz-inm.de/en/ The INM practices an open and appreciative corporate culture in which the existing diversity is promoted and lived
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system) in computer science or another relevant discipline. A proven scientific focus on Artificial Intelligence (AI) & Machine Learning (ML). Experience with data analysis using ML or AI methods
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development. Applications will be accepted until March 31, 2026. How to Apply: Please send us the following through the online application system: For more information on the institute, please see: https
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Service) applications Support the C3S Agriculture Micro-site and Mediterranean Demonstrator with agronomic insights and data Your qualifications: PhD in crop science, computational environmental science, or