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and Sustainability (CREDS ), part of Inland School of Business and Social Sciences, University of Inland Norway (INN), invites candidates to apply for a three-year PhD research fellowship. The position
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datasets metabolomics or analytical chemistry microbial community analysis programming/scripting in R, Python, or similar languages systems biology or computational biology Knowledge of a Scandinavian
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. The areas represented include: fluid mechanics, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and risk, algebra, geometry
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project “Actively learning experimental de-signs in terrestrial climate science (ACTIVATE)”: https://www.mn.uio.no/geo/english/research/projects/activate/index.html The PhD fellow will be part of a growing
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available at IFI (Informatics Department) / PT (Programming Technology). The fellowship period is three years. Depending on the candidate and the teaching needs of the department, the fellowship period can be
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for and is granted admission to the Faculty’s doctoral programme in Technology within three months of starting in the position. The doctoral programme includes relevant courses corresponding
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Social Sciences , The PhD programme Innovation in Services in the Public and Private Sectors (INSEPP) , invites candidates to apply for a 3-year PhD research fellowship, to work with the broad field
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at https://www.ntnu.edu/indecol . Your immediate leader is Associate Professor Johan Berg Pettersen at Dept. of energy and process engineering and Industrial Ecology Programme. Duties of the position Conduct
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on theory, methods and applications. The areas represented include: fluid mechanics, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations
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the upper segment of their class with respect to academic credentials. Required qualifications: Master’s degree or equivalent in statistics, mathematics, machine learning, computer science or a similar field