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Critical Media Literacy” Complete the required coursework and other components of the PhD programme Conduct and disseminate research of high academic quality through publications, conference participation
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a vacancy for a fully funded 4-year PhD position. This interdisciplinary role is offered in collaboration with the Department of Computer Science (IE) and external partners in Norwegian municipalities
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relevant Master's degree in mathematical sciences or equivalent, in particular computational mathematics, numerical analysis and experience with AI tools. Your course of study must correspond to a five-year
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training: As a PhD research fellow, you will take part in the PhD programme at the Faculty of Social Sciences, UiB. The programme corresponds to a period of three years and leads to the PhD degree. To be
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to the faculty's Doctoral Programme, see Section 6-1 of the PhD regulations for more information. PLEASE NOTE: For detailed information about what the application must contain, see paragraph “About the application
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2050 brings together the full width of the Norwegian research community in a joint, interdisciplinary research program. Arctic Ocean 2050 will provide fundamental and applicable knowledge and skills
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. The employment period is 3 years. For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in Engineering (https://www.ntnu.edu/studies/phiv) within three months of your
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and/or published/publishable scientific papers. You must meet the requirements for admission to the Faculty's Doctoral Programme . You must have English language skills, both written and spoken
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institutions. Be prepared for changes to your work duties after employment. Required selection criteria You must meet the requirements for admission to the Faculty's Doctoral Programme , see Section 6-1
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particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme Engineering You must have high proficiency in both written and oral English We can not