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This PhD programme is multidisciplinary and cross-disciplinary building on applied mathematics and physics, technology and engineering—and the interplay between these. The programme has an applied
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at the intersection of cyber security, cyber-physical systems, and mathematical methods as part of the NORCICS Norwegian Centre for Cyber Security in Critical Sectors. The centre links researchers from
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Oslo Metropolitan University is Norway's third largest university with 23,000 students and over 2,600 employees. We have campuses in central Oslo and at Romerike. OsloMet educates students and conducts research that contributes to the sustainability of the Norwegian welfare state and the...
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selection criteria You must have an academically relevant background within Civil / Environmental / Hydraulic Engineering, Computer Science, Applied Mathematics, or related areas. You must have a Master's
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11 Mar 2025 Job Information Organisation/Company University of Bergen Department Geophysical Institute Research Field Mathematics » Applied mathematics Engineering Researcher Profile Established
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have a strong background in marine hydrodynamics or applied mathematics, as the study will involve mathematical modelling and taking demanding PhD courses. Both potential flow theory and CFD will be
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Norwegian PhD or an equivalent degree in informatics or mathematics. Applicants must have a genuine interest in AI, and the application letter must be related to cryptography and its applications to security
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for Computing in Science Education (CCSE) and the Techwell center, Department of Physics, Faculty of Mathematics and Natural Sciences, University of Oslo. The position is for a period of 2 years. Starting date
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15th June 2025 Languages English English English The Department of Physics has a vacancy for a PhD Candidate in computational material research at the Materials Theory Group Apply for this job See advertisement This is NTNU NTNU is a broad-based university with a technical-scientific profile and...
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mathematical modeling, numerical optimization and control. Knowledge in machine learning and data driven decision making methods. You must have a master's degree in engineering Cybernetics, Control Engineering