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of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: The average grade point
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the assessment the main emphasis will be attached to the submitted works and the research plan. Emphasis shall also be attached to experience from popularization/dissemination and academic policy and
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studies, English, Kven, Finnish, Norwegian, Russian, Sami, Spanish, and German, as one-year programmes, as well as full Bachelor and Master programmes (including three international programmes
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this means that you must have more than 5 years of what is called higher education in your home country. Please confer the GSUlist for relevant information pertaining to your home country: https
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at foreign institutions Be prepared for changes to your work duties after employment. Required selection criteria You must have a relevant Master's degree in chemical engineering, process engineering
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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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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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, 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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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