24 programming-"Prof"-"Fermilab"-"Washington-University-in-St" Fellowship positions in Norway
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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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of Bergen (Profs. Ritske Huismans and Rob Gawthorpe), University of Manchester (Prof. Cathy Hollis), University of Oslo (Prof. Jan Inge Faleide) and Imperial College (Prof. Chris Jackson). About the project
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at the Department). The PhD-project will be connected to the research group of Prof. Nathalie Reuter at the Department of Chemistry and the Computational Biology Unit , in collaboration with Prof. Odd André Karlsen
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employment that the PhD Research Fellow is enrolled in USN’s PhD-program in PhD in Technology within three months of accession in the position. It may be possible to get a four-year full-time period consisting
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oppdatert 08.08.2025 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 inneholde skadelige programmer eller
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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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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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environment Career guidance throughout the postdoctoral program and together with you we will prepare a career plan, which containsthe skills and knowledge you will acquire Open and inclusive working
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An exciting job with an important social mission An engaging scientific environment with a strong and international team Career guidance throughout the postdoctoral program and together with you we will prepare
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(IRT) models in small samples. The ideal candidate has prior knowledge of IRT models, a basic understanding of common estimation methods, and strong programming skills in R, Python, or another relevant