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learning algorithms (e.g., graph neural network (GNN) architectures) will be developed to explain the identified small-scale processes as accurately and efficiently as possible and to ultimately develop a
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, and sustainable development. This scientific progress is supported by cutting-edge infrastructure and a national commitment to education, research, and innovation. The dynamics of a young university
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of Physics and Astronomy. AIPAD tackles the above questions by developing two innovative AI algorithms: The first algorithm will infer full SEP pitch-angle distributions (PADs) for spacecraft measurements
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is a plus point. Applicants with a PhD in Quantum Physics are also welcome, but they should have a focus on Quantum Circuits, Quantum Algorithms, and preferably expertise in developing Software
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research software engineer will work with PhD candidate Issa Hanou, prof. Mathijs de Weerdt and other partners such as ProRail in the Robust Rail project to: build a demonstrator for rail traffic management
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, and sustainable development. This scientific progress is supported by cutting-edge infrastructure and a national commitment to education, research, and innovation. The dynamics of a young university
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optimization approaches will be developed. Main responsibilities Your major responsibility as doctoral student is to pursue your own doctoral studies. You are expected to develop your own scientific concepts and
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, design, implement, and validate an optimization system for scheduling group classes within the Koachy platform. The specific goals include: Develop attendance prediction models for different types
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We are the research groups “Tectonics and Sedimentary Systems” of the Institute of Geological Sciences at the Freie Universität Berlin under the direction of Prof. Dr. Alexander Webb and Prof. Dr
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part of an interdisciplinary team which works on cutting-edge questions ranging from mathematics and theoretical physics all the way to numerical simulation algorithms? Then apply now to join our team