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Hellren Hansen, Ingun A.Mæhlum Qualifications This position requires: A master’s degree or equivalent in a relevant discipline (e.g. physics, geosciences, computer science, mathematics/statistics, geodesy
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(e.g. teaching at the Institute). The position is associated with the research group in energy at the Geophysical Institute, the Bergen Offshore Wind Center and the energy informatics lab
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will include an interview. Applicants must hold a two-year Master’s degree (or equivalent qualifications) and meet the formal requirements for admittance to the Faculty of Social Sciences’ PhD program
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combines approaches from computational physics, machine learning, neuroscience, and gene technology. The postdoc is expected to contribute to develop machine learning models for the construction
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will include an interview. Applicants must hold a two-year Master’s degree (or equivalent qualifications) and meet the formal requirements for admittance to the Faculty of Social Sciences’ PhD program
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give promising researchers an opportunity for academic development through a PhD education leading to a doctoral degree. The hired candidate will be admitted to the PhD program in Educational Sciences
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position A 100% position is available at the University of Agder, Faculty of Engineering and Science as a Ph.D. research fellow in in towards battery digitalization: a continuum-scale physics-based model
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intelligence Apply for this job See advertisement About the position Inland School of Business and Social Sciences , The PhD program Innovation in Services in the Public and Private Sectors (INSEPP) , invites
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to the research group Harvest at the Norwegian College of Fishery Science (NCFS). The position is for a period of four years. The nominal length of the PhD programme is three years. The fourth year is distributed
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, health and society. Integreat draws on the research strengths of researchers and students from the departments of Mathematics, Informatics, Philosophy, and the Oslo Centre for Biostatistics and