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Field
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climate change - Computer vision, e.g., colour vision, human colour vision, colour appearance models, etc. - AI technology, e.g. statistical learning, neural network learning, deep and transfer learning
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complex analysis using both local and global datasets. applying nutritional geometry analysis apply advanced bioinformatics modelling techniques publish in peer-reviewed journals and present at conferences
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We are looking for a highly motivated researcher, whose expertise lies in statistics, to work with Prof Theodore Kypraios on a project at the forefront of infectious disease modelling. The role
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Blindern, Oslo. Project description A fully funded Postdoc position is available on the development of geographic information systems methodology and spatiotemporal modelling for climate-sensitive infectious
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://www.odont.uio.no/iko/english/people/aca/haavarjh/index.html Project description The PhD candidate will develop bacterial biofilm models with single or multiple bacterial species under aerobic and anaerobic
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or chemistry, or applied mathematics. Demonstrated evidence of computational modelling experience, including code development and data analysis. Ideally experience using one or more of the following: Molecular
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staff position within a Research Infrastructure? No Offer Description Reference: 665_25_LS_NLP_R3 Job title: Established Researcher Data science and AI expert for Clinical NLP and Language Models (R3
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analysis of probabilistic models, and associated problems in PDE, with emphasis on identifying both well- and ill-posed examples and the interplay between probabilistic analysis and the analysis of partial
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, winbugs) Health economic evaluation and decision modelling This is a full-time fixed-term position until 31 March 2027, and subject to funding an extension is anticipated. Applications for part-time will be
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UiO/Anders Lien 31st December 2025 Languages English English English PhD Research Fellow in ML-assisted reservoir characterization/modelling for CO2 storage Apply for this job See advertisement