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-prediction benchmark studies. Depending on the qualifications and preferences of the candidate, the work may entail experimental investigations and/or modelling in the open-source computational fluid dynamics
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. The hired candidate will be admitted to the PhD program in Science and Technology. The education includes relevant courses amounting to about six months of study, a dissertation based on independent
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employment that the PhD Research Fellow is enrolled in USN’s PhD program in Nautical Operations within three months of commencing the position. About the PhD-project The PhD project will focus on research
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in USN’s PhD-program in within three months of accession in the position. About the PhD-project Carbon nanotubes (CNTs) are one of the most interesting nanomaterials due to their remarkable material
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aquaculture and fisheries. The position is for a period of four years. The nominal length of the PhD programme is three years. The fourth year is distributed as 25 % each year and will consist of teaching and
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requirements for admittance to the Faculty of Social Sciences’ PhD program. The Master’s degree must be of high quality (grade A or B) and within a specialization of relevance to the economics of innovation and
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datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å
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perspectives. FemArc is a central activity in ConGender, focused on work in progress, and recruits beyond ConGender. The teaching consists of a one-year programme at BA level and two PhD courses. The one-year
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of their class with respect to academic credentials. Qualification requirements: Applicants must hold a degree equivalent to a Norwegian doctoral degree in epidemiology, biostatistics, computational biology, or a
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is a new initiative that organises the local bioinformatics community and drives bioinformatics innovation by integrating computational and biological sciences to address complex life science