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PhD in Advanced Testing, Modelling, and Simulation of Composite Materials under High Velocity Impact
to join SIMLab at the Department of Structural Engineering, NTNU, in the field of computational mechanics, experimental mechanics, and protective structures. The project focuses on developing next
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8th October 2026 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in Empirical Software Engineering Apply for this job See advertisement This is
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4th October 2026 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in Digital Sovereignty Apply for this job See advertisement This is NTNU NTNU
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23rd September 2026 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in Efficient Edge Intelligence Models Apply for this job See advertisement
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. The successful candidate will be enrolled in INN’s PhD program in Applied Ecology and Biotechnology, with a specialisation in Forestry. The PhD program helps address local and global problems concerning
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Technology » Computer technology Technology » Communication technology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 4 Oct 2026 - 23:59 (Europe/Oslo) Country
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2nd October 2026 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate for Developing Efficient Search Engines Apply for this job See advertisement
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conferences, workshops and discussions Be prepared for changes to your work duties after employment. Required selection criteria You must meet the requirements for admission to the faculty's Doctoral Programme
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of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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decision-making, computational efficiency, generalization under changing market conditions, and safe constraint handling. The PhD candidate will develop and validate decision-support methods based on deep