18 mathematical-physics "NTNU Norwegian University of Science and Technology" PhD positions
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and Regulations for the degrees philosophiae doctor (ph.d.) and philosophiae doctor (ph.d.) in artistic development work at the Norwegian University of Science and Technology (NTNU) for general criteria
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of Physics is one of eight departments in the Faculty of Natural Sciences . Apply for this job Deadline 31st January 2026 Employer NTNU - Norwegian University of Science and Technology Municipality Trondheim
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10 Dec 2025 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Materials Science and Engineering Research Field Chemistry Engineering
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(ph.d.) in artistic development work at the Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Familiarity with Norwegian or another
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development work at the Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Solid theoretical background in robot perception. Additional
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for the degrees philosophiae doctor (ph.d.) and philosophiae doctor (ph.d.) in artistic development work at the Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred
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at the Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Solid theoretical background in nonlinear control and the control of marine
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Regulations for the degrees philosophiae doctor (ph.d.) and philosophiae doctor (ph.d.) in artistic development work at the Norwegian University of Science and Technology (NTNU) for general criteria
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2 Dec 2025 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Engineering Cybernetics Research Field Computer science » Cybernetics
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development work at the Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Solid theoretical background in deep learning, observer design