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qualities Applicants must hold a master's degree or equivalent education in physics, applied maths, or a comparable subject involving modelling, or must have submitted his/her master's thesis in such a topic
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well as with the PI to develop skills and competence during their employment. Qualifications and personal qualities Applicants must hold a master's degree or equivalent education in cell biology, biomathematics
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: https://www.mn.uio.no/ibv/english/people/aca/dirkl/index.html Co-supervisors: Håvard Haugen (Corticalis AS), Susanna Fagerholm (University of Helsinki) Project description The PhD candidate will study
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, please see: http://www.mn.uio.no/ifi/english/research/groups/ltg/ The successful applicant will benefit from close collaboration across disciplines and access to diverse application areas through the joint
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economic assessments machine learning or proxy-model based methods field scale simulation geological features geomechanics reactive flow The PhD fellow are not expected to master all these topics. Project
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the criteria to obtain a security clearance according to the Norwegian Security Act § 5-3. This position also requires: a Norwegian master's degree (or equivalent) in Computer Science or AI related
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: linguistics, literature, art history, media and documentation studies, English, Kven, Finnish, Norwegian, Russian, Sami, Spanish, and German, as one-year programmes, as well as full Bachelor and Master
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acquire. Access to career guidance will be provided throughout the doctoral education. Research topic The PhD Fellow will conduct research in industrial economics with a primary focus on the seafood
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with a strong academic background who have completed a five-year master degree within risk science (risk analysis, risk management), preferably acquired recently; or who possess corresponding
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plan for the PhD-project. A project proposal template can be found here. Qualification requirements We are looking for applicants with a strong academic background who have completed a five-year master