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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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to the intended start of their study or research programme in Belgium. Duration Fellowships are awarded for a minimum of 6 months, but are usually awarded for one full year. How much funding is involved
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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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Master of Science degree in (Environmental)Engineering; (Geo)physics; or similar. Motivated by the research topic and scientific research to complete a PhD program. Analytical skills and a strong
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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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, and brain computer interface tasks. This project will support our goal of testing the Controllosphere Theory of cognitive effort (see doi 10.1037/rev0000467). A Ph.D. and background in computational
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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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skills Competencies: Open-minded, self-aware, collaborative, critical thinker, team player, strong communicator. Have interest in healthy aging Applicants must be available full-time to start the program
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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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international projects. This position is open for candidates holding a Master of Science in Industrial Engineering, Operations Research, Computer Science Engineering, Mathematical Informatics, Business