150 programming "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" scholarships in Norway
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. You must meet the requirements for admission to the faculty's Doctoral Programme . PLEASE NOTE: For detailed information about what the application must contain, see paragraph “About the application
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position is contingent upon admission to the PhD programme in the Study of Professions prior to commencement. Assessment criteria In the evaluation of applicants, emphasis will be placed on: the quality
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document that you are particularly suitable for a PhD education. Experience with programming (ideally Python) and a foundational understanding of geostatistics or numerical modeling is considered a strong
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Doctoral programme: PhD in Engineering (Doctoral Programme) 3 years - Trondheim - NTNU A background in separation techniques, particularly flotation Experience or interest in flotation, surface chemistry, or
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education. You must meet the requirements for admission to the faculty’s Doctoral Programme in Engineering Good oral and written presentation skills in English PLEASE NOTE: For detailed information about what
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admitted to the PhD program in Educational Sciences and Humanities. The education includes relevant courses to about six months of study, a dissertation based on independent research, participation in
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for a PhD education. You must meet the requirements for admission to the Faculty of Engineering Doctoral programme: PhD in Engineering (Doctoral Programme) 3 years - Trondheim - NTNU Strong analytical
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on the doctoral programme’s website (Engineering Science - OsloMet ). Written and oral proficiency in English (Language requirements for employees at OsloMet ) Admission to the PhD programme in Engineering Science
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English (Language requirements for employees at OsloMet ) Admission to the PhD programme in Engineering Science (Engineering Science - OsloMet ) at the Faculty of Technology, Art and Design is a prerequisite for
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) Karima El Ganaoui, ESTI Pau CY Tech, M24, duration: 4 weeks, AI materials Duties of the position Take part in the mandatory PhD research education programme Develop a quantitative deep-learning-based