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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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. Candidates with a Master degree in Computer engineering, Electrical engineering, and Informatics qualify for this research job. Experience in the domain of recommender systems is not necessary but interest in
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Electrical Engineering, Master in Telecommunication, or a related field. You are interested to do research in an academic environment for a 4 years period in view of a PhD degree. You have the necessary
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, the controller will be tested in the intrahippocampal kainic acid mouse model. The applicant should hold an M. Sc. (or equivalent) degree in biomedical, electrical, or physics engineering, or in a
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, in or closely related to electromechanical, electrical or control engineering. You are motivated, creative and have a passion for research. You have an affinity with both experimental research and
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also discovered key viral and host proteins involved in this viral immune evasion process. In the current PhD research track, we want to investigate the mechanisms underlying the impact of PRV on gap