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of human disease through computational and big data-driven approaches. We entail the development of new computational algorithms, statistical/quantitative methods, and combining cutting-edge bioinformatics
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, livestock, crop monitoring, etc.) [1]. Despite a lot of progress, the value of this large quantity of data remains complex to develop, often not well automatized and underexploited. This data suffers from a
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(e.g., Python, R, SQL) is an advantage, experience with big data, remote sensing, modelling, or automation of analytical processes is welcome. LanguagesENGLISHLevelGood Research FieldGeographyYears
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of Technology , we conduct advanced research in data-driven nutrition, health, and food science. With large-scale diet and health data, omics data, biomarkers, digital food and health services, we establish
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planetary systems. The project will investigate Probabilistic Numerical Computation for large scale Inverse Problems, with a particular focus on cases governed by Partial Differential Equations (PDEs). Recent
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research in data-driven nutrition, health, and food science. With large-scale diet and health data, omics data, biomarkers, digital food and health services, we establish predictive models for evaluation
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, multi-billion investments will be made in large projects in Northern Sweden to create a fossil-free society both nationally and globally. Luleå University of Technology is involved in several
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sustainability assessment tasks in agri-food systems with IoT-data Data lakes and Large Language Models. PhD grantors: Aarhus University (DK) & Université Libre Bruxelles (BE); keywords: data lakes, LLMs
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-August applications): September-October Future Rounds - TBC Submit an application Status: Open for applications Applications open: 26 Jan 2026 Applications close: 31 Mar 2026 The information listed here is
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information for consideration (e.g., a list of publications if applicable) Please use the university’s job portal when applying for this position. For more information, please contact Prof. Ruud van Winkel