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skills, team spirit, passion for scientific work Practical experience in a relevant field is an advantage What we offer Our doctoral study process (see www.msl.mgt.tum.de/simanagement ) has a clear
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to fossil energy sources in sectors that rely on carbon-based fuels. For the energy-efficient and economical production of sustainable synthesis products, our group investigates innovative process concepts
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mechanical engineering, electrical engineering, physics, materials science or a comparable field Experience in material processing and analytics Basic experience with CAD and/or programming software Ability
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engineering, physics, materials science or a comparable field Experience in material processing and analytics Basic experience with programming software for data analysis Ability to work independently Enjoy
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using Multimodal AI models as per the preference of the student. What you bring to the table PyTorch, Multimodal AI, Gaussian-Splatting, Image Processing (AI Approach). OR Experience with loading and
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in, but not limited to, the following areas are especially welcome: Reinforcement Learning Virtual Reality, Augmented Reality, Digital Avatars Embodied AI Natural Language Processing Human-Computer
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with cell culture is beneficial but not required. Basic skills in data analysis and processing using standard software tools Ideally, good communication skills in both German and English You enjoy
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is a world leader in research into mobile and optical communication networks and systems as well as the coding of video signals and data processing. We are looking for student assistants
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application, you acknowledge that FU Berlin saves and processes your data. FU Berlin cannot guarantee the security of your personal data if you send your application over an unencrypted connection.
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John-F.-Kennedy-Institut Sociology Department Herrn Prof. Dr. Sebastian Kohl Lansstr. 7-9 14195 Berlin (Dahlem) With an electronic application, you acknowledge that FU Berlin saves and processes your