241 computer-science-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in Norway
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Doctoral programme: PhD in Engineering (Doctoral Programme) 3 years - Trondheim - NTNU A background in separation techniques, particularly flotation Experience or interest in flotation, surface chemistry, or
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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 fungere. Cookies hjelper oss å få
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3rd August 2026 Languages English English English Faculty of Health Sciences Postdoctoral Research Fellow in Molecular Microbiology/Bacterial Infection Biology/Chemical Biology Apply for this job
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Research Fellow in Formal Methods and Knowledge Representation for Engineering Information at the Department of Informatics. Starting date no later than 31.12.2026. The fellowship period is three years
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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 fungere. Cookies hjelper oss å få
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UiO/Anders Lien 15th August 2026 Languages English English English PhD Research Fellow in Computational Nuclear Physics and Reactor Simulations Apply for this job See advertisement About the
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Research Fellow in High-Performance Computing Apply for this job See advertisement About the position Position as PhD Research Fellow in High-Performance Computing available at Department of Informatics. The
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Fellow in High-Performance Computing available at Department of Informatics. The fellowship period is three years. Depending on the candidate and the teaching needs of the department, the fellowship period
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. teaching duties. The department teaches in all the sub-fields mentioned above. The successful candidate will be part of the Faculty’s PhD programme. The work is expected to lead to a PhD in political science
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methods. Knowledge of bioinformatics, DNA-sequence analysis or computational design tools. Experience with high-throughput experimental workflows, automation or design–build–test–learn cycles. Experience