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work and phylogenetic analyses Species delimitation and biogeographic analyses Preparation of manuscripts for publication The PhD candidate must take part in the University’s approved PhD program leading
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Data Science, Data Analysis, Computer Science, or Mathematics Strong programming skills (e.g., Python, C/C++, C#, Java, Scala or similar) Solid academic record (GPA B or higher on master’s degree and
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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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, Statistics, and Mathematics. Strong communication and analytical skills are also crucial for successful completion of the program. If applicants are otherwise equally qualified, female applicants will be given
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Mentor programme as a new employee at NTNU Favorable terms as a member of the Norwegian Public Service Pension Fund (SPK) Free Norwegian language training at a basic level (A2) As a PhD Candidate at NTNU
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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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, Mathematics and Statistics. Strong communication and analytical skills are also crucial for successful completion of the program. If applicants are otherwise equally qualified, female applicants will be given
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Cybernetics at NTNU is offering a fully funded PhD position in the area of learning-based control and decision-making for complex multi-agent systems. The project explores new computational frameworks
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Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Norway Application Deadline 15 Nov 2025 - 23:59 (Europe/Oslo) Type of Contract Temporary Job Status Full-time Hours Per