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mathematics to work with Axel Ringh on a project funded by the Swedish Research Council (VR). The project is centered around inverse optimal control/inverse reinforcement learning, both for continuous-time and
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, and sustainable agriculture. The project aims to identify elite strains of the yeast-like biocontrol fungus Aureobasidium pullulans for sustainable and environmentally safe control of grey mould
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postdocs and three PhD students with complementing competences. In this call, we are looking for one postdoc who is mathematically oriented, with strong background in systems theory and control, and one
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Council (VR). The project is centered around inverse optimal control/inverse reinforcement learning, both for continuous-time and discrete-time systems. In particular, we are looking for a strong candidate
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of robotics with a specific focus on Aerial and Space robotics. The vision of RAI is aiming in closing the gap from theory to real life, while the team has a strong expertise in field robotics. Specific
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of robotics with a specific focus on Aerial and Space robotics. The vision of RAI is aiming in closing the gap from theory to real life, while the team has a strong expertise in field robotics. Specific
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expertise from control theory, machine learning, optimization, and network science, spanning diverse application domains such as energy systems, biomedical systems, neuroscience, and safety and security
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of Mathematical Statistics include stochastic models, statistical theory and computational statistics, probability theory and statistical signal processing, with applications in areas such as financial mathematics
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senior researchers and doctoral students. Current research areas within the Department of Mathematical Statistics include stochastic models, statistical theory and computational statistics, probability
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Aureobasidium pullulans for sustainable and environmentally safe control of grey mould (Botrytis cinerea) in strawberry. The position focuses on uncovering the population genomic and functional basis of strain