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- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
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. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load
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NTNU and the application process here. About the position Are you motivated to take a step towards a doctorate and open up exciting career opportunities? As a PhD Candidate with us, you will work
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background in programming (Matlab, python, …) familiar with Multi-body dynamic tools good knowledge of statistics familiar with signal processing, operational modal analysis Personal characteristics Strong
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dissertation that is typically a collection of three research articles. Research work is done in close co-operation with the supervisor and other faculty members from the department. Projects joint with faculty
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-operation with the supervisor and other faculty members from the department. Projects joint with faculty members often involve collaborators from other research institutions. Candidates also participate in
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work, a Research Masters/M.Phil degree, or a comparable degree relevant for the specialization in Economics by the time the programme starts in early autumn of 2026, with a grade point average of B
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work, a Research Masters/M.Phil degree, or a comparable degree relevant for the specialization in Economics by the time the programme starts in early autumn of 2026, with a grade point average of B
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an integrated master's degree of 300 ECTS. Applicants must have a grade of C or better on the master's thesis and have a grade point average of C or better for the master's degree. A more detailed description of
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open up exciting career opportunities? Are you interested in cable technology and condition monitoring and do you have a strong competence in signal processing and machine learning? As a PhD candidate
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life experience to apply. If applicants indicate they have disabilities or gaps in their CV, their details may be used anonymously for the purposes of governmental annual review. Contact information