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. Job requirements A Master's degree in (Applied) Mathematics, Applied Physics, or a related discipline is required. Candidates should have demonstrated expertise in the development of mathematical models
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31st October 2026 Languages English English English PhD Candidate in Quantifying the Benefits of Wayside Detection for Railway Infrastructure Apply for this job See advertisement This is NTNU NTNU
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Energy (IEL) at NTNU is seeking a highly motivated candidate for a full-time (100%) PhD position for 3 years as part of the Norwegian Centre on AI for Decisions. You will join the research group
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of wireless-native Physical AI Systems within the general study
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Engineering, Computer Science, or a related discipline. Strong analytical and problem-solving skills, and the ability to work independently and collaboratively. Strong analytical skills and motivation
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. For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in [subject area] (link to possible website)within three months of your employment contract start date, and that
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) / PhD Position (m/f/x) (100 %, salary plus allowances package according to the Marie Skłodowska-Curie Actions (MSCA) – Doctoral Networks rules) for a period of 3 years. Selection is based on suitability
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spatial and temporal variability in sediment accumulation and vegetation development. This PhD project is part of a larger interdisciplinary research initiative aiming to enable a transition towards more
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» Mechanical engineering Engineering » Industrial engineering Computer science » Cybernetics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 Oct 2026 - 23:59 (Europe
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Max-Planck-Institut für Kohlenforschung, Mülheim an der Ruhr | M lheim an der Ruhr, Nordrhein Westfalen | Germany | 6 days ago
Job Offer from September 21, 2026 The foundation Max-Planck-Institut für Kohlenforschung in Mülheim an der Ruhr is a renowned research institution that is over 100 years old and has already received