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for admission to the faculty's Doctoral Programme . Good programming skills in one or several languages (e.g., Python, Julia, MATLAB, Fortran, C++). Competence in mathematical modeling and languages
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presentation skills in English. Solid programming skills in Python, MATLAB, or Julia and knowledge of standard optimization tools (such as CasADi or Gurobi). Strong skills in mathematics, excellent capacity
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Academically relevant background within marine control/cybernetics, computer science, or hydrodynamics, with good skills in mathematics, programming, and machine learning. Master's degree in control engineering
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Academically relevant background within marine control/cybernetics, computer science, or hydrodynamics, with good skills in mathematics, programming, and machine learning. Master's degree in control engineering
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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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including the research statement Proficiency in both written and spoken English Scientific qualifications: A degree in Biology, Geology and Earth Science, Physics, Mathematics, Geography, Soil Science
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have a relevant master’s degree in computer science, mathematics, statistics, or a related area with very good results. Your course of study must correspond to a five-year Norwegian course, where 120
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knowledge about natural resource management Knowledge of software R Strong skills and/or interest in mathematical and statistical modelling is a strength Ability to conduct field work in remote alpine areas