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dynamics to ecosystem-level interactions. Here, you’ll join a vibrant, interdisciplinary community where collaboration and innovation are nurtured. Discover more about our dynamic research environment
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! We
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Association with an international reputation and globally networked research infrastructure. It is active in three closely interlinked fields: collection-based research, collection development and cataloguing
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physiological signatures. This requires knowledge and skills in molecular and cellular biology, including NGS data set analysis, in silico analysis and communication of the results to partners and public
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for scientific success. Relevant research networks at TUM, in the greater Munich area and beyond (including the TRR338/CRC LETSImmun, the German Center for Infection Research (DZIF), the German Consortium
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Associate Professor of Experimental Physics Focusing on AI-Based Research of Biomolecular Structures
professorship for the use of artificial intelligence in the research of biomolecular structures. The appointed person should have extensive international experience in the fields of: neural networks, machine
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Max Planck Institute for Brain Research, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 36 minutes ago
neuroscience Strong analytical and critical thinking skills A willingness to learn new techniques, including advanced experimental methods and computer programming Excellent verbal and written communication
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schemas within the neuroscience domain, metadata expert communities within the Helmholtz Association, and international neuroscience initiatives (e.g., EBRAINS, BIDS) Execution of collaborative projects
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the design of new district heating systems as well as the transformation of existing networks. We are looking for students (internship, master’s thesis or student assistant) with an energy systems modelling
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial