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Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Faculty of Economics and Law | Starting 15th of March 2026
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turbines. Become an active member of the team; we are keen to hear your ideas! As an international oriented IWES-team, we highly appreciate an open exchange, whether this be in German or English. Respectful
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applications with large-scale AI, high-performance, and innovative computing. Within national and European projects, you will collaborate with our partners and drive the development of cutting-edge applications
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
. Through fundamental research across computational, physical, and social dimensions, we shape artificial intelligence and robotics to advance knowledge and benefit society. We are looking for a Data Team
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bridging satellite remote sensing applications with large-scale AI, high-performance, and innovative computing. Within national and European projects, you will collaborate with our partners and drive
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: Required Qualifications: Very good performance in your Master’s studies in Electrical Engineering, Computer Science, Geoinformatics, Energy Systems, or related field Very good knowledge of Machine Learning
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environments and high-performance computing (HPC) systems is advantageous Effective communication skills, both written and verbal in english, are essential for presenting research findings and collaborating with
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good performance in your Master’s studies in Electrical Engineering, Computer Science, Geoinformatics, Energy Systems, or related field Solid programming skills in Python and familiarity with machine
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, they allow the use of metallic Li or Na as the anode. This can significantly increase the energy density of these batteries. In order to manufacture high-performance Na metal batteries, the compatibility
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of a novel cell design and configuration of the electrochemical approach using the selective materials. Evaluation of the performance of an automated system for the recovery of CRM using the novel