56 computer-programmer-"Prof"-"Sun-Yat-Sen-University" PhD scholarships in Netherlands
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- University of Groningen
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- Eindhoven University of Technology (TU/e)
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staff members. The faculty forms a vibrant community and has a strong AI and law research programme. The position is hosted at the Department of Transboundary Legal Studies as part of the STeP Group
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a keen and bright candidate for a PhD position that is
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staff members. The faculty forms a vibrant community and has a strong AI and law research programme. The position is hosted at the Department of Transboundary Legal Studies as part of the STeP Group
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design up to phased-array implementations (3 vacancies) With its partners, the University of Twente founded POLARIS, a programme running under the Dutch National Growth Fund (NGF). It realises
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training programme is part of the agreement. The indicative starting date is around January 2026. The position will be filled as soon as a qualified candidate has been found, so interested candidates
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Netherlands Application Deadline 31 Aug 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a
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University and present your results at (inter)national scientific meetings; participate in the Faculty of Science PhD training program; assist in teaching Bachelor and Master’s students; co-supervise and
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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 successful candidate will be enrolled in the Graduate School
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funded PhD position and you will be offered a course program tailored to your needs and the research team. The gross salary for the first year is € 3059,-. per month rising to € 3881,- in the fourth year
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robotic systems and AI models. You will learn how to programme advanced robotic systems and how to implement aspects of deep learning and neural networks for chemical property prediction. You will be part