815 computer-programmer-"https:"-"FEMTO-ST" "https:" "https:" "https:" "https:" "UCL" uni jobs in Germany
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Research Associate (Postdoc) in Animal Network Ecology § 28 Subsection 2 HmbHG Institution: Faculty of Mathematics, Informatics and Natural Sciences, Department of Biology, Lab of Animal Network
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on multi-view sensor perspectives of the “First Mile” test field validation of the developed algorithms and execution of tests on the test bed “Erste Meile” What you bring to the table student in Computer or
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, preferably in physics, mechanical engineering, materials science, materials engineering, industrial engineering, computer science, chemistry or a comparable course of study Enjoy developing your own ideas and
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, materials science, materials engineering, industrial engineering, computer science, chemistry or another comparable course of study. You are interested in technical challenges in application-oriented research
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available in the further tabs (e.g. “Application requirements”). Programme Description Medical students of any nationality enrolled at German institutions of higher education are eligible for a clinical
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Company pension plan (VBL) Company health promotion and the opportunity to participate in company fitness with EGYM Wellpass Submission of application: Please submit your complete application documents
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at Christmas Eve and New Year's Eve Company pension plan and capital-forming benefits The position is limited to 36 months, subject to approval. Remuneration is based on pay scale E9a (TVöD-Bund) if the relevant
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available in the further tabs (e.g. “Application requirements”). Objective This program gives North American, British and Irish students and PhD students in the fields of science and engineering and computer
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expertise in genetic-epidemiological data analysis in UKBiobank and/or AllofUs. Additionally, you have a PhD/doctorate in a life-science related discipline (e.g., life-science informatics, molecular medicine
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Informatics, specifically for a DFG project in wind power forecasting using machine learning. You are passionate about applying cutting-edge information technology to solve the energy and climate crisis and