164 phd-studenship-in-computer-vision-and-machine-learning Fellowship positions in Norway
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of the position is to complete research training to the level of a doctoral degree. Admission to the PhD programme is a prerequisite for employment, and the programme period starts on commencement of the position
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will be adapted to the candidate’s background and the evolving needs of the center. Possible directions include the application of rock physics models, Bayesian inversion methods, and machine learning
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must take part in the University’s/ Faculty’s/ Department’s approved PhD program and is expected to complete the project within the set fellowship period. The main purpose of the fellowship is research
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physics models, Bayesian inversion methods, and machine learning algorithms in the electromagnetic context. Qualifications and personal qualities: Applicants must hold a master’s degree (or equivalent) in
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PhD Research Fellow in Chemistry-focus on Experiments in Chemical Kinetics and Heterogeneous Catalys
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. The employment period will be three years of full time with no teaching obligations, and there is a premise for employment that the PhD Research Fellow is enrolled in USN’s PhD program in technology within three
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, Computer Science, or Machine Learning) The Master’s thesis must be included in the application It is a requirement that the successful applicant is granted admission to the university’s doctoral program in
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that the candidate will acquire from the PhD project, including positions that entail software development, engineering or consulting for the energy or process industry, and academia. The career promoting work will
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. The hired candidate will be admitted to the PhD program in Science and Technology. The education includes relevant courses amounting to about six months of study, a dissertation based on independent
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market for personnel with the knowledge and skills that the candidate will acquire from the PhD project, including positions that entail software development, engineering or consulting for the energy or