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critical, scientific mindset and are interested in proteomics technology and data analysis. You have basic knowledge of statistical tools. What we offer We offer a full-time PhD scholarship for a period of 1
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disciplines: computer science/engineering or biomedical engineering. You have an excellent academic record of accomplishment. In particular, you have a good command of, and a strong interest in, computer
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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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full-time (100%) doctoral scholarship holder with a project focused on biomarker discovery in neurological disorders. Position The Computational Neurobiology group (Dr. Valeriya Malysheva), Gut-Immune
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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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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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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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internationally. Job profile You hold a Master’s degree in computer science, electrical engineering, (technical) cognitive science, Human-Computer Interaction or areas relevant to the research topic (for example
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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