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the University of Oslo, industry partners and University College London (UCL). The successful candidate will work with and further develop the electricity system model highRES to analyse the role of batteries in
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across the University of Oslo, industry partners and University College London (UCL). The successful candidate will work with and further develop the electricity system model highRES to analyse the role
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). Knowledge in programming skills (e.g., R, Python). Candidates without a master’s degree have until June 30, 2026 to complete the final exam. Desired qualifications: Strong interest in or prior experience with
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degree has been awarded. A good understanding of ocean and/or climate dynamics is a requirement. Proficiency in scientific programming (e.g., MATLAB or Python) is a requirement. Experience in statistical
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beneficial Experience with and knowledge of mathematical modeling techniques (numerical solution of Partial Differential Equations) Programming and data analysis in Python Language requirement: Good oral and
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of the project is to reconstruct the environmental, biological, and societal drivers behind plague outbreaks in Eurasia between 1300 and 1900 CE. A short description of the project can be found here: https
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and methodological capacities in statistics Documented expertise in computational methods and experience with R or Python programming Experience in Bayesian statistics and modern Bayesian computing
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position see https://www.visual-intelligence.no/about/open-positions . We expect that you will engage in collaborative research with other members of the centre and the research group. You will collaborate
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characterization is a plus Experience with biomedical applications is positively evaluated Experience with data analysis using, e.g., Origin or MatLab Programming skills, e.g. proficient with Labview or Python
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scientific profile relevant for the nuclear medical applications research programme, as outlined above A solid background in scientific computing, including proficiency in Python programming Candidates without