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for focal epilepsy with ultrasound neurorecording, modulation, and deep reinforcement learning (DRL) closed-loop control. The technology will be developed through detailed computer simulations and preclinical
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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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on principles from engineering, cognitive neuroscience, artificial intelligence, and human-computer interaction. It has potential applications in education, training, and cognitive rehabilitation, and contributes
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acquired by our research partners with both standard and innovative protocols You will contribute to computational models of the BOLD signal and of the hemodynamic response You will disseminate your
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must have (or will receive in a few months) a Master’s degree in Computer Science Engineering, Master of Science in Information Engineering Technology, Master of Science in Computer Science, Master of
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(or will receive in a few months) a Master’s degree in Computer Science Engineering, Master of Science in Information Engineering Technology, Master of Science in Computer Science, or a related field
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and health”, in the Department of Movement and Sports Sciences, we are looking for a m/f/x Doctoral fellow YOUR JOB The Doctoral fellow will be expected to: Report on findings by publishing scientific
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performed on advanced building blocks. This doctoral mandate is part of the EU PHARMECO project. Job profile You hold a Master’s degree in Bioscience Engineering (Chemistry and Bioprocess technology) or a
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Master's degree in a relevant field, such as mechanical engineering, civil engineering, or materials engineering. You have a strong background in computational solid mechanics and finite element modelling
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Rankine Cycle (ORC). The goal is to model this complex process using computational fluid dynamics (CFD), taking into account thermodynamic non-equilibrium. The developed method can then serve as the