27 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" PhD scholarships at NTNU Norwegian University of Science and Technology
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grade background, you may be considered if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme: https
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selection criteria Experience with machine learning or other relevant AI technologies Experience with condition monitoring, preferably within maritime domains Knowledge of ship machinery and systems Good oral
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approximately 25 doctoral scholarships and some postdoc positions. More information can be found here: https://www.ntnu.edu/mai The appointment is carried out in accordance with the principles of the State
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Computer science Engineering » Computer engineering Technology » Information technology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 10 Feb 2026 - 23:59 (Europe/Oslo
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. The Department offers teaching in medicine at master’s and PhD level. We also offer continuing education for employees in the health services. Where to apply Website https://www.jobbnorge.no/en/available-jobs/job
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of graduates who enable value creation based on our natural resources. The Department of Geosciences is one of eight departments in the Faculty of Engineering. Where to apply Website https
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outside academia. The PhD position is linked to the " GP CIRCFeed – Circular Low Trophic Feed Production from Industrial Sidestreams” project financed by The Green Platform Initiative (https
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maybe considered if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme (https://www.ntnu.edu/nv/phd
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must have documented experience with hydrogen technologies, in particular liquid hydrogen systems, hydrogen storage, or cryogenic energy applications. You must have experience with data analysis, machine
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, target recognition and shape estimation, data association, as well as intention prediction, beyond the state of the art. In order to support machine learning, the project will make use of historical radar