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PhD Research Fellow in Experimental Fluid Mechanics: Tunable hairy surfaces for droplet flow control
Cookie-erklæringen var sist oppdatert 06.06.2025 Hva er en cookie? En cookie er en liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan
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, methods and applications. The areas represented include: fluid mechanics, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and
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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 fungere. Cookies hjelper oss å få en
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The idea is to combine established iterative ensemble Kalman methods with novel emerging machine-learning-enabled model calibration techniques recently adopted in CLM-FATES at UiO. The aim is: to constrain
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to the research group Harvest at the Norwegian College of Fishery Science (NCFS). The position is for a period of four years. The nominal length of the PhD programme is three years. The fourth year is distributed
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full time, and there is a premise for employment that the PhD Research Fellow is enrolled in USN’s PhD-program in Technology within three months of accession in the position. It may be possible to get a
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development in close exchange and collaboration with local industry partners in the south of Norway. A prerequisite for employment is that the candidate is to be admitted to UiA’s PhD programme at the Faculty
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technology. Biofilm-based bioreactor design, construction and operation. Biofiom characterization and knowledge of DNA sequencing. Solid knowledge on standard methods for wastewater characterization
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corresponding to master’s degree level Knowledge of matching-to-sample (MTS method) Excellent written and spoken English Admission to the PhD programme in Health Sciences is a prerequisite for the position. In