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. Required qualifications: A Ph.D. degree in Computer Science, Data Science, Software Engineering or related field. Solid research experience with using Large Language Models. Solid programming expertise in
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Genetic Improvement of Dairy Cow Longevity, Using Large-Scale Body Weight Data from an AI-Camera ...
available from 01 January 2026 or later. You can submit your application via the link under 'how to apply'. Title Genetic Improvement of Dairy Cow Longevity, Using Large-Scale Body Weight Data from an AI
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Post Doctoral Researcher in Human-centred Large Language Models for Software Engineering, Departm...
. Required qualifications: A Ph.D. degree in Computer Science, Data Science, Software Engineering or related field. Solid research experience with using Large Language Models. Solid programming expertise in
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science, mathematical modelling, data science, transport behaviour, or related fields? Then this PhD position might be the right for you. Ensuring sustainable mobility in dense urban areas is a big challenge faced by
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Job Description SDU Center for Large Structure Production (LSP) , part of the Maersk Mc-Kinney Moller Institute (MMMI) at University of Southern Denmark (SDU) , invites applications for one funded
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insights and tools for policymakers and industry professionals. We have close collaboration with other research communities nationally and internationally, and with Danish Authorities. This includes a large
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in glaciology, Geodesy, Earth sciences, remote sensing, or a related field. Strong skills in data analysis, programming, and handling large geospatial datasets are essential. Experience with satellite
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development. As a colleague in the Section for Cognitive Systems, you will be part of a large, vibrant world-class research environment that is welcoming and internationally rooted. The university is in
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covering all aspects of drug use, effect, and safety. The group is highly recognized within pharmacoepidemiology and has a very large international network. Furthermore, we collaborate extensively with
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maintenance of the SmartSleep data infrastructure. Explore and apply methods for health-complexity research based on the large quantitative data recourses in the SmartSleep study combining, e.g., methods from