52 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at NTNU Norwegian University of Science and Technology
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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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Website https://www.jobbnorge.no/en/available-jobs/job/296781/sfi-fast-phd-candidate-in… Requirements Research FieldPhysicsEducation LevelMaster Degree or equivalent Additional Information Work Location(s
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doctoral degree in cryptography or a related area. Good oral and written presentation skills in English. The ability to teach courses at the department (https://wiki.math.ntnu.no/emner ). PLEASE NOTE: For
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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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present at and accessible to the institution on a regular basis. Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/293468/researcher-in-modern-econ… Requirements Research FieldHistory
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to the C1 level here . Personal characteristics To complete a doctoral degree (PhD), the candidate is expected to: Demonstrate strong motivation, curiosity, and a learning-oriented mindset Work independently
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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
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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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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