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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Shape intelligent control and coordination in future complex
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‑dependent data is often unavailable and many traditional monitoring methods are too resource‑intensive or unsuited to the complex, delicate habitats used by juvenile fishes. This project aims to offer both
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predict interaction effects. Unlike robot-specific neural network models, the proposed approach aims to learn a universal representation of local interactions (fluid-structure, robot-robot, robot-object
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the Technical University of Munich (TUM), the network brings together ten universities with regulators, public agencies, international organisations and research networks. The doctoral projects investigate how
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. Our work has global relevance, with particular expertise in forests and forestry as complex socio-ecological systems. Our research spans silviculture and forest management, forest ecology, forest
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complex socio-ecological systems. Our research spans silviculture and forest management, forest ecology, forest pathology, and forest policy and planning. We work closely with stakeholders and offer a
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in forests and forestry as complex socio-ecological systems. Our research spans silviculture and forest management, forest ecology, forest pathology, and forest policy and planning. We work closely
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candidate will benefit from a network of European experts in different fields (gene therapy, pharmacology, bioinformatics, disease modeling, imaging) and will have the possibility to visit other labs in
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, you will: - conduct independent research combining field investigations and numerical modelling of multimodal data (taking into account subsurface structural complexity and anisotropy); - develop
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Materials research group, which focuses on sustainable polymer chemistry. You will also become part of the interdisciplinary Institute for Complex Molecular Systems, which connects TU/e researchers working