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computing/GPU clusters and the robot labs. You will work towards a PhD degree. Engaging with scientific and technical research at PhD level, publishing and engaging with colleagues, both nationally and
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closed-loop control. The technology, developed through detailed computer simulations, will be validated with preclinical experiments. The candidate will be part of a multidisciplinary team working towards
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Job description PhD position in computational neuroscience - Deep reinforcement learning closed-loop control for the treatment of epilepsy As part of the highly prestigious ERC Starting Grant
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Nemetschek Institute of Artificial Intelligence for the Built World and conducted in collaboration with a range of other TUM chairs from the Geodesy and Computer Sciences domains. Tasks Your duties will
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synthetic methodology is recommended. • You have good computer and data management skills. • You are fluent in English. • Team-oriented: You enjoy working with others and actively contribute to a safe, open
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fluently in English. You have good computer skills and data management skills. What we can offer you We offer a full-time position as a doctoral fellow, consisting of an initial period of 12 months, which