158 phd-studenship-in-computer-vision-and-machine-learning Fellowship positions in Norway
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computing language. Experience with machine learning methods is a plus. The research fellow must take part in the faculty’s approved PhD program and is expected to complete the project within the set
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in USN’s PhD-program in within three months of accession in the position. About the PhD-project Carbon nanotubes (CNTs) are one of the most interesting nanomaterials due to their remarkable material
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for this job See advertisement About the position Inland School of Business and Social Sciences , The PhD programme Innovation in Services in the Public and Private Sectors (INSEPP ), invites candidates to apply
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-scale assessment data, meta-analyses of meta-analyses) Methods and approaches to cumulative, living, and community-augmented meta-analyses Methods and approaches to include machine learning and artificial
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for academic development through a PhD education leading to a doctoral degree. The hired candidate will be admitted to the PhD program in Arts and Education. The education includes relevant courses amounting
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knowledge of IRT models, a basic understanding of common estimation methods, and strong programming skills in R, Python, or another relevant computing language. Experience with machine learning methods is a
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employment period is three years. A premise for employment is that the PhD Research Fellow will be enrolled in USN's PhD-program in Technology within three months after accession. About the PhD-project
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mechanics, complex fluids, physics and biophysics and sustainability thinking Follow our PhD program that include an educational component This is the right position if you are highly motivated about
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important for renewable energy production and production variability will be an advantage. Knowledge of machine learning or optimization will be an advantage. Applicants must be able to work independently and
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for admittance to the Faculty of Social Sciences’ PhD programme within relevant disciplines in the social sciences or the humanities. The master’s degree must be of high quality (grade A or B) and within a