23 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "I.E" positions in Norway
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1 Mar 2026 - 23:00 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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are made aware that an application for a PhD position at NMBU is at the same time an application for admission to a PhD program. The successful applicant must meet the conditions defined for admission to a
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) Positions PhD Positions Application Deadline 1 Mar 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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Positions Application Deadline 28 Feb 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a
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of Applied Ecology, Agricultural Sciences and Biotechnology, University of Inland Norway. The candidate will be enrolled in INN’s PhD program in applied ecology and biotechnology, with workplace at Campus
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relevant international scientific conferences. The applicant is made aware that an application for a PhD position at NMBU is at the same time an application for admission to a PhD programme at the
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device in a way that makes good use of the available hardware resources. Your immediate leader will be the Head of the Computing Unit. About the project NICE is a center for research-driven innovation (i.e
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. Furthermore, you must have a strong academic background from your previous studies, i.e., the average grade should normally be B or better from the master's program (120 credits) or equivalent education
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Deadline 13 Feb 2026 - 23:00 (Europe/Oslo) Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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quantification, in particular the theory and methods known as predictive Bayes. Predictive Bayes theory involves getting Bayesian type uncertainty for parameters given data (i.e., a posterior type distribution