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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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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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PhD Research Fellowships: Artificial Intelligence Adoption, Sustainable Finance, and Twin Transition
with the communities and the industries" Questions about the position Marit Engen Head of PhD programme +47 61 28 81 07 marit.engen@inn.no Nurilla Avazov (Impact of AI on Firm-Level Innovation) Associate Professor +47
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or theoretical/computational physics. Master’s students may apply if they expect to complete their final examination by 01.10.2025. Employment is contingent upon the degree being awarded. Solid experience with
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of novel cancer targets. This project funded by the Norwegian Cancer Society focuses on the mechanisms underlying chromatin interactions and gene deregulation in Sarcoma. To elucidate these mechanisms in
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. Qualifications: The PhD research fellow must hold a master's degree in computer science, medical technology, applied mathematics, or in a closely related field, with a strong emphasis on computing. A solid
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There is a vacancy for a PhD Research Fellow in borehole geophysics at the Department of Earth Science . The position is for a fixed-term period of 3 years with the possibility of a 4th year with career
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utilizing principles from thermodynamics, electrochemistry, and solid mechanics, these models enable a detailed understanding of processes such as charge transport, thermal management, and degradation
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well as of the cyclone family itself. The candidate will investigate the mechanisms by which moisture is drawn into and processed within cyclone families using reanalyses, idealised and realistic model simulations
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increasingly recognized as a key factor in understanding climate variability and have the potential to improve seasonal to decadal climate predictions. The PhD candidate will investigate mechanisms of such basin