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department upon appointment. If a 4th year is granted, one year of career-promoting work associated with teaching, dissemination or research infrastructure/services, will be distributed over the full
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, one year of career-promoting work associated with teaching, dissemination or research infrastructure/services, will be distributed over the full employment period and thus corresponding to 25 per cent
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. If a 4th year is granted, one year of career-promoting work associated with teaching, dissemination or research infrastructure/services, will be distributed over the full employment period and thus
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. The postdoc will become part of a dynamic, interdisciplinary, and inclusive team as a member of one of the department’s research groups https://www.uib.no/en/infomedia/102434/research-groups-and-networks
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/Machine Learning (AI-ML) approaches to meeting this challenge. Possible topics include, but are not limited to: storylines for plausible narratives of regional climate change, novel algorithms for rare
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collaborative skills. Applicants must be proficient in both written and oral English. Experience from one or several of the following areas is an advantage: Developing algorithms for CFD solvers (e.g. OpenFOAM
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analyses of data from large patient cohorts. The ideal candidate publishes at a high international level, including several first- and last author publications without co-authorship of PhD or postdoc
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artificial intelligence systems. The postdoc will become part of a dynamic, interdisciplinary, and inclusive team as a member of one of the department’s research groups https://www.uib.no/en/infomedia/102434
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for plausible narratives of regional climate change, novel algorithms for rare event sampling or ensemble boosting, and the development and use of hybrid climate models combining physics-based and ML components
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advantage: Developing algorithms for CFD solvers (e.g. OpenFOAM). Programming in C++ or Fortran and proficiency with MATLAB or Python scripting. Experience with tools for simulating chemical kinetic, e.g