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of Civil and Environmental Engineering (IBM) NTNU is seeking a PhD Candidate for a research project in the RenewHydro research centre. This position focuses on understanding and mitigating the effects
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technology, contributing to AI systems that are safe, transparent and accountable? The Department of ICT and Natural Sciences at NTNU in Ålesund has a vacancy for a PhD Candidate in trustworthy agentic
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24 Aug 2026 Job Information Organisation/Company Hector Fellow Academy Research Field Engineering Medical sciences Technology Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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Fotograf Morten Hjertø 4th October 2026 Languages English English English The Department of Ocean Operations and Civil Engineering has a vacancy for a PhD Candidate in Control Systems Nuclear
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of Marine Technology at NTNU has a vacancy for a PhD Candidate in Deep Learning enhanced FSI modelling of Multi-modular Floating Structures. The position is part of the AIMOS project (Artificial Intelligence
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | about 9 hours ago
with interest in AI and/or LS) If you answer any of the questions below with “yes”, apply to one of our fully funded PhD positions in September: Are you passionate about pushing the boundaries of AI and
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Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 14 Sep 2026 - 12:00 (Europe/Warsaw) Country Poland Type of Contract Not Applicable Job Status Not Applicable Offer Starting
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Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 14 Sep 2026 - 12:00 (Europe/Warsaw) Country Poland Type of Contract Not Applicable Job Status Not Applicable Offer Starting
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Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 14 Sep 2026 - 12:00 (Europe/Warsaw) Country Poland Type of Contract Not Applicable Job Status Not Applicable Offer Starting
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Job description We invite applications for a fully funded PhD position in the area of Scientific Machine Learning (SciML), which integrates data-driven machine learning techniques with established