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Information Science, or a related discipline. Fluency in spoken English and Dutch, along with experience in academic writing in English. Demonstrated quantitative research skills, with experience in developing
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the aim of completing the PhD within the total appointment period. • Enrolment in a tailored PhD training programme and registration with the Faculty of Spatial Sciences Graduate School. Intended start date
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) Good communication skills in English Ability to work efficiently, both independently as well as in a team Previous experience in the fields of soft matter or biophysics, quantitative image analysis and
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) Good communication skills in English Ability to work efficiently, both independently as well as in a team Previous experience in the fields of soft matter or biophysics, quantitative image analysis and
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period of 4 years at the Eindhoven University of Technology, Department of Mathematics and Computer Science. The student’s working locations will be at Eindhoven University where the PhD candidate will be
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models. Requirements The successful applicants will have: A solid computational background, an interest in cognitive neuroscience a and strong deep learning programming skills. Ability to work in an
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/or human-computer interaction. Programming skills, e.g. Python, Java, or C++. Excellent command in English, verbal and written. Prior experience as a research assistant during (under)graduate studies
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assisting in courses. Requirements Desired profile A master degree in computer science, artificial intelligence, or (very) similar. Self-drive, creativity, rigor, sense of ownership, and excitement to push
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engage with interdisciplinary approaches. Good collaborative skills and ability to contribute to team-based research. Excellent command of spoken and written English (additional regional languages are a
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on sufficient progress in the first year to indicate that a successful completion of the PhD thesis within the next three years is to be expected. A PhD training programme is part of the agreement and the