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Machine learning connected to the Scientific Computing and Machine Learning (SCML) group at the Department of Informatics. The candidate will be part of and contribute to the research activities in
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USN’s PhD-program in Technology within three months of accession in the position. About the PhD-project The build-up of CO2 in the earth’s atmosphere is recognized as the single most important
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conducts research that contributes to the sustainability of the Norwegian welfare state and the metropolitan region. The Faculty of Technology, Art and Design (TKD) offers higher education and research and
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bioinformatics innovation by integrating computational and biological sciences to address complex life science challenges. It fosters collaborations and develops advanced computational tools through a hub for
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programme in Health Sciences is a prerequisite for the position. The final plan for organised research training must be approved and agreed no later than three months after taking up the position. Eligibility
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employment is that the candidate is to be admitted to UiA’s PhD programme at the Faculty of Engineering and Science, Specialisation in Engineering Sciences, Scientific Field Renewable Energy . Further
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- International English Language Testing System, with the result of 6.5 A prerequisite for employment is that the candidate is to be admitted to UiA’s PhD programme at the Faculty of Engineering and Science
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requirements for admittance to the Faculty of Social Sciences’ PhD program. The Master’s degree must be of high quality (grade A or B) and within a specialization of relevance to the economics of innovation and
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Abandonment (P&A) Technology and within the framework of the ongoing industry sponsored research program SFI – Center for Subsurface Well Integrity, Plugging and Abandonment (SWIPA) https://www.sintef.no/en
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PhD degree within a period of 3 years. The deadline for applying for admission to the PhD programme at The Faculty of Science and Technology is 2 months after you start your position or after the start