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-inspired fundamental research in Computer Science. The main research themes are Artificial Intelligence, Computational Science and Systems and Network Engineering. Our research involves complex information
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Are you eager to perform quantum simulations in a lively, international research group? Do you enjoy creating complex machines that have never existed before? Do you want to explore physics
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are exactly where they stop being sufficient — under partial observation, in complex regimes that demand orders-of-magnitude speed-up, and where knowledge must transfer across embodiments, scenes and scientific
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and students work together on complex social issues. Thanks to this approach, ESSB successfully attracts national and international research subsidies and funds, with which we continuously strengthen
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aims to unravel how ecosystems function in all their complexity, and how they change due to natural processes and human activities. At its core lies an integrated systems approach to study biodiversity
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Postdoc in Application of eXtended Reality for Inclusive Automated Vehicle and Road User Interaction
question remains largely unanswered: how can AVs interact safely and effectively with vulnerable road users (VRUs), including people with disabilities? Such interactions involve complex human decision-making
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qualitative approaches, to address complex environmental challenges? Then we have the perfect opportunity for you. There is a need to transition to more ‘nature-inclusive’ or ‘biodiversity-positive’ food
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aims to unravel how ecosystems function in all their complexity, and how they change due to natural processes and human activities. At its core lies an integrated systems approach to study biodiversity
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Job description The Challenge As process industries transition to circular models, companies within Hubs for Circularity (H4C) need robust tools to navigate the financial complexities of industrial
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to space-related technologies, and implement their solutions as cutting-edge, efficient numerical methods. The focus is on building rigorous frameworks that can capture the complexity of challenging