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19.11.2024, Wissenschaftliches Personal A PhD position (E13) in the fields of machine learning and game theory is available at the Department of Computer Science at TUM at the Chair of Decision
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interventions’ contributes to theory building on personalising learning using simulations in higher education. As a joint research context, SHARP focuses on diagnosing and intervening as two highly relevant
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interventions’ contributes to theory-building on personalised learning using simulations in higher education. As a joint re-search context, SHARP focuses on diagnosing and intervening as two highly relevant
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(graph neural networks, diffusion models) with quantum chemistry and molecular simulations, the project aims to accelerate bottom-up material discovery for applications ranging from life sciences
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on experience and interest. Research Associate (20-50%): We are also interested in hiring scientific staff whose primary aim is to position CUSP as a leader in linking urban theory with design practice. In order
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pioneering research, from theory to experimentation and flight. Our research foci include spaceflight mechanics, orbital robotics and systems engineering for advanced space missions. This university-funded
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engineering through pioneering research, from theory to experimentation and flight. Our research foci include spaceflight mechanics, orbital robotics and systems engineering for advanced space missions
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Academic staff for the "Learning Sciences and Educational Design Technologies" working group (f/m/d)
national and inter-national travel possible. The research assistant will bring expertise in or appreciation of constructionist educational theory and two or more of the following areas: Arts-based learning
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science and engineering through pioneering research, from theory, to experimentation and flight. Our research foci include spaceflight mechanics, orbital robotics and systems engineering for advanced space
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methods (such as Machine Learning, Metric Learning, Reinforcement Learning, Graph Representation Learning, Generative Models, Domain Adaptation, etc.) for Design Automation applications. To this end, we