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Deviations” (TOMABOLD), funded by the Research Council of Norway. The PhD position will focus on the large deviation analysis of probabilistic models, and associated problems in PDE, with emphasis
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for isolating milk proteins and characterizing their structure. We are particularly interested in exploring the functional properties of these proteins using mammalian cell line models. Position Overview The Food
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cereals, field trials, plant/crop modelling, genomics, genetics, crop ecophysiology, and agronomy. Evidence of contribution to successful external grant applications. Experience liaising and collaborating
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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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INESC TEC is accepting applications to award 4 Scientific Research Grant - NEXUS - CTM (AE2025-0564)
; - survey and analyze the state of the art in emerging wireless networks, including simulation aspects; - collaborate in the preparation of technical reports on the algorithms, mechanisms, models
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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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empirical methodologies and models Collecting, managing, and structuring quantitative datasets Conducting statistical analyses of complex datasets and interpreting results Report writing and manuscript
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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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; 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - Identify state-of-the-art Vision-Language Models for image captioning; - Benchmark the models in occlusion scenarios; - Cooperate in writing
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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