262 phd-studenship-in-computer-vision-and-machine-learning PhD positions in Netherlands
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PhD: Storm Surge Barriers and Adaptation Pathways for Deltas Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline: 12 June
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The PhD position is embedded in the research programme of Economics, Econometrics & Finance of FEB’s Research Institute. The project will be supervised by dr. J.A.M. de Grefte, prof. dr. B.P. de Bruin and
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. Legal systems worldwide—and particularly within the European Union (EU)—are facing urgent challenges in addressing the ethical and societal impacts of AI-driven applications and machine-learning
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that would give you an advantage) Experience in computational modelling (e.g., agent-based Bayesian models, cognitive learning models, machine learning, robotics). Experience in annotation software such as
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. At www.bprc.nl you can read which subjects have our special attention and how we conduct our research. We are looking for a PhD student (4 years) The project: You will be joining the Department Neurobiology
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year to indicate that you will successfully complete your PhD thesis within the next three years. A PhD training programme is part of the agreement. The preferred starting date is 1 September 2025 Please
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highly motivated and enthusiastic PhD candidate to work with us on precision nutrition and human metabolism research. Increasing evidence shows that individuals respond very differently to foods, meals
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University. Requirements A master’s degree in (applied) mathematics (or related), with a strong background in computational methods, preferably also using computational frameworks for machine learning in
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be continued. The PhD candidate will be recommended to teach (0.1 fte) during their fourth year of their appointment. Supervision of MA and MSc thesis related to the PhD project may be suggested one
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results and the progress of the PhD project, in order to decide whether employment will be continued. The PhD candidate will be recommended to teach (0.1 fte) during their fourth year of their appointment