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within Computer Science. The proposed project aims to evaluate solutions that can support the future operation of the railway system. In particular, the student may focus on the following research goals
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academic and personal prerequisites to carry out the project. The hiring process will include an interview. Applicants must have prior education that corresponds to 5 years at the university level in Norway
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, their academic grades and their academic and personal prerequisites to carry out the project. The hiring process will include an interview. Applicants must have prior education that corresponds to 5 years
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prerequisites to carry out the project. The hiring process will include an interview. Applicants must have prior education that corresponds to 5 years at the university level in Norway, with two years (120 ECTS
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in entrepreneurship, clinical process innovation, and industry collaboration. Contact Further information about the position and UiT is available by contacting: Professor Brita Elvevåg: phone +47
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PhD Research Fellowships: Artificial Intelligence Adoption, Sustainable Finance, and Twin Transition
artificial intelligence(AI) on product process and environmental innovation 2) sustainable finance 3) twin transition. Depending on the department`s needs, and the candidate`s competence and preferences
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. If you have any questions about the recruitment process, please contact HR-consultant Emilie Mikkelhaug, email: emilie.s.mikkelhaug@ntnu.no. If you find this position interesting, and in accordance with
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the knowledge base for decision making through six key activities: assimilating rich Norwegian datasets into process-based models novel modelling of forest disturbances more robust modelling of soil accumulation
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For questions about the application process: Lars Solheim, Advisor, Faculty of Social Sciences tel. (+47) 38142619, E-Mail lars.solheim@uia.no Eirik Rustad, Administrative Coordinator of CeDiT, Faculty of Social
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using Python, R, Matlab, Julia or similar is required. Knowledge of energy systems, energy system modelling or the European energy market will be an advantage. Understanding of atmospheric processes