96 associate-professor-computer-science "https:" "https:" "https:" "https:" research jobs in Norway
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contain, see paragraph “About the application”. If you do not already have educational competence that meets the requirements for a position as associate professor in Norway, NTNU will arrange for you to
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PhD degree within a period of 3 years. The deadline for applying for admission to the PhD programme at The Faculty of Science and Technology is 2 months after you start your position or after the start
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positions. If you do not already have the educational competence that meets the requirements for an Associate Professor position in Norway, UiT will arrange such competence during the employment period. The
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Postdoctoral Fellow in Anthropology: Meat, Infrastructure, and Zoonotic Risk on Chinas Belt and Road
career and further qualify for academic positions. If you do not already have the educational competence that meets the requirements for an Associate Professor position in Norway, UiT will arrange
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or equivalent in Microbiology, Biotechnology, Molecular Biology or related fields at the time of admittance to the programme Documented experience in at least one of the following areas: microbial
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educational competence that meets the requirements for an Associate Professor position in Norway, UiT will arrange such competence during the employment period. The workplace is at UiT in Tromsø. You must be
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. Place of work is Department of Informatics at Blindern, Oslo. Project description The position is part of the RESPIRE project funded by the Research Council of Norway (https://www.mn.uio.no/ifi/english
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, Molecular Biology or related fields at the time of admittance to the programme Documented experience in at least one of the following areas: molecular cloning and mutagenesis in non-model bacterial species
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awarded. Applicants must demonstrate the potential to adopt interdisciplinary approaches to biology in research, combining laboratory and computational work. Experience with live-cell confocal microscopy is
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, discrete stochastic models, applied statistics. Experience with cell biology and computational modelling, especially using R, is an advantage. Applicants must be able to work independently and in a