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position as Associate Professor at the end of the employment period. The position is associated with the Norwegian Open Laboratory for High-Throughput Experimentation and Scale-up (NorHTE ) with the function
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interactions on decadal timescales and the joint influence on for instance high latitude climate. The candidate will analyze a new and novel coupled millennium reanalysis, which uses modern data assimilation and
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equivalent education in high energy physics or must have submitted his/her master's thesis for assessment prior to the application deadline. It is a condition of employment that the master's degree has been
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qualities: Applicants must hold a master's degree or equivalent education in high energy physics or must have submitted his/her master's thesis for assessment prior to the application deadline. It is a
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-erklæringen var sist oppdatert 10.08.2025 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
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-erklæringen var sist oppdatert 10.08.2025 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
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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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. The employment period will be three years full time, and there is a premise for employment that the PhD Research Fellow is enrolled in USN’s PhD-program in PhD in Technology within three months of accession in
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, the Department has a total staff of 260 from more than 30 different countries. The Department aims to maintain high international standards within both research and teaching. The new bachelor program in bioscience
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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