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within several ongoing projects. The division consists of researchers with broad and complementary expertise, including professors, researchers, postdoctoral fellows, PhD students and technical staff
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complementary expertise, including professors, researchers, postdoctoral fellows, PhD students and technical staff, creating an interdisciplinary and international research environment with close collaboration
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be part of a larger interdisciplinary research team consisting of professors, researchers, engineers, and PhD candidates. It will be primarily affiliated with the Section for Genetics, Evolution and
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Do you want to contribute to the future of AI-driven electric transport systems? Join our research group to develop advanced machine learning methods for electromobility, focusing on energy-aware
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science. Our research spans computational materials design, catalysis, energy materials, machine learning, and artificial intelligence. We offer a collaborative and international research environment with
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aims to explore to which extent machine learning methods can help with these tasks, e.g. object reconstruction and signal/background discrimination. This will be a focus in the project. One exciting
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→ bbbb final state. as well as exploring synergies with searches for Higgs compositeness through the creation of vector-like quarks. In addition, the successful candidate will be expected to teach
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at the interface of automatic control, electrochemistry, and machine learning. The position will also involve close collaboration with another postdoctoral researcher working on a complementary project in physics
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higher education teaching and learning. The purpose of the position is to develop the independence as a researcher and to create the opportunity of further development. Detailed description of the work
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/institutes and/or industry. Presently, our group consists of 1 Professor, 1 permanent researcher, 5 Postdocs and 9 PhD students. About the research project Your research will focus on the reproducible and