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gain admission to the PhD programme in Engineering within three months of your employment contract start date, and that you participate in an organized doctoral programme through out the period of
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the interdisciplinary PhD program Responsible Innovation and Regional Development (RESINNREG). Western Norway University of Applied Sciences (HVL) has a vacancy for a position as PhD candidate linked to the "Bump2Baby
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Society (LANDSAM) at the Norwegian University of Life Sciences (NMBU) has a vacant three-year PhD–position in International Environment and Development Studies focusing on Arctic politics. The Arctic
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the interdisciplinary PhD program Responsible Innovation and Regional Development (RESINNREG). Western Norway University of Applied Sciences (HVL) has a vacancy for a position as PhD candidate linked to the "Bump2Baby
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27 Feb 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Ocean Operations and Civil Engineering Research Field Computer science
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to materials science, and formulate research hypotheses that can be benchmarked through physical experiments or computational simulations. The project is funded by the Research Council of Norway and is a
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Computer science Engineering » Electrical engineering Engineering Technology » Information technology Researcher Profile Established Researcher (R3) Positions Other Positions Application Deadline 20 Apr 2026 - 23:59
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prepared for changes to your work duties after employment. Required selection criteria You must have a relevant Master's degree in computer science, automation related engineering or equivalent. Your
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SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
, it is a prerequisite that you gain admission to the PhD programme in Materials Science and Engineering (https://www.ntnu.edu/studies/phmt) within three months of your employment contract start date
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cookie and refresh page to watch video, or click here to open video) About the position Distributed machine learning takes advantage of communication and distributed computing to utilise distributed data