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advertisement About the position The Faculty of Environmental Sciences and Natural Resource Management (MINA) at the Norwegian University of Life Sciences (NMBU) is offerering a 3-year PhD position in
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closely with the other 14 PhD candidates of the network. You will register for a PhD with the Faculty of Medical Sciences, University of Groningen and your work is expected to lead to conference
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material will be prepared together with the PhD supervisor(s) in the beginning of the employment period. Salary and benefits The salary is based on the job requirement scheme for teaching and research staff
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD thesis will be funded within the framework
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; publishing your research in leading international journals and presenting your work at international conferences. You will work here This PhD position is embedded in the Information Technology Group
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experimental experience. A covering letter describing their interest in the position and suitability for the role. Applicants should highlight relevant hands-on experience in RF/high-frequency measurements
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institute website: https://www.fz-juelich.de/en/pgi/pgi-3 and the research group in which this position is located: https://www.fz-juelich.de/en/pgi/pgi-3/groups/multitip We work on the very latest issues
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 2 months ago
Framework Programme? Not funded by a EU programme Reference Number 2026-10284 Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD project will be carried out in
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this selection procedure, one (1) position equivalent to that of PhD Researcher is open in the area of Computer Science, sub-areas of Artificial Intelligence, Serious Games and Medical Image Processing. The work
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04.08.2026, Academic staff Fully funded PhD position (TV-L E13) at the Technical University of Munich (TUM) in Generative AI for Automotive Software Engineering. The project focuses on LLMs, VLMs