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programming skills. Strong skills in mathematics, excellent capacity for mathematical formalism, and ability to grasp new concepts quickly. Solid training in control of marine vehicles abd/or robots, and
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. Additional training in machine learning methods is an advantage. Solid programming skills. Strong skills in mathematics, excellent capacity for mathematical formalism, and ability to grasp new concepts quickly
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mathematical and analytical skills, and solid knowledge of quantum many-body theory and field-theoretical methods. Your course of study must correspond to a five-year Norwegian course, where 120 credits have
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technology Computer science » Cybernetics Physics Mathematics » Statistics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Norway Application Deadline 18 Jan 2026 - 23:59 (Europe/Oslo) Type
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with the project advisors. A final plan for the implementation of the research training must be approved by the Faculty of Mathematics and Natural Sciences within 2 months after the candidate has commenced in
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progress plan for education and research will be prepared together with the project advisors. A final plan for the implementation of the research training must be approved by the Faculty of Mathematics and
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, Computer Science, Cybernetics, Physics, Mathematics, Statistics, Nautical Science, Maritime Technology, or a similar field with some sea-going experience and stronger software development experiences, and any other
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] Good skills in mathematics, programming, and applied AI. Candidates with strong AI and programming skills and a demonstrated interest in maritime applications are encouraged to apply. Your master's
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of an Integrated PhD study plan[1] Good skills in mathematics, programming, and applied AI. Candidates with strong AI and programming skills and a demonstrated interest in maritime applications
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completed a master’s degree in a relevant subject within the sport sciences, biostatistics, statistics, epidemiology, mathematics, computer science or equivalent with a documented knowledge of statistics