58 phd-position-for-fully-funded-reserch-in-computer-vision PhD positions at University of Groningen
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both universities. The PhD position is fully funded for four years at the level appropriate level for the stay in The Netherlands (~2 years) and Estonia (~2 years). Degree: Candidates will be registered
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Organisation Job description Project and job description This PhD position is dedicated to advancing autonomous robotic manipulation and control within a textile-sorting cell, where garments arrive
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of Science and Engineering, a 4-year interdisciplinary PhD position is available at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence. The candidate will become a member of
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theory and real-world policy design. The PhD position is embedded in the Economics, Econometrics, and Finance research programme of FEB’s Research Institute. The project will be supervised by Dr Viktor
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. For recent work in this area, see: https://doi.org/ (...)17/S002205072300027X and https://papers.ssrn.com/ (...)?abstract_id=4155944 The PhD position is embedded in the research programme Economics
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PhD Position: Activating Heritage as a Mediator for Dialogue and Belonging in an Era of Polarization
supervise this project, with Dr. Sepideh Yousefzadeh as the promotor. The position is based in Leeuwarden, at Campus Fryslân. Your tasks as a PhD candidate will be: Developing, conducting and completing
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Fully funded PhD position in Classics at the Faculty of Arts, University of Groningen (start date: 1 October 2025) in the project “Ancient Commentary across Genres”. The PhD Project Commentaries
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(please visit http://www.rug.nl/research/young-academy ). Two PhD positions are available to conduct research within the themes of the projects. The call for applications for project 2 is now open. As a PhD
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Do you want to contribute to groundbreaking research that pushes the boundaries of science? Are you looking for a PhD position in which you can turn your curiosity into concrete research results and
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under varying lighting, fabric blends, and soiling; (5) porting the inference pipeline to an embedded/edge-compute platform; (6) integrating with our robotic pick-and-place cell for iterative field trials