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development based on data and biospecimens from a unique longitudinal cohort. The material is derived from a large, population-based Norwegian colorectal cancer screening study, including up to six samples per
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outcomes (>10,000 patients). Duties of the position Develop and evaluate self-supervised learning models to learn representations of cardiac function patterns from large-scale data Design and implement
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25th February 2026 Languages English English English The Department of Materials Science and Engineering has a vacancy for a PhD Candidate in machine learning and large language models (LLMs
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better subsurface understanding, uncertainty quantification, and robust forecasts suitable for emissions reduction, increased energy efficiency, and recovery improvements with large amounts of data
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UiO/Anders Lien 1st March 2026 Languages English English English PhD Research Fellow in Information Systems Apply for this job See advertisement About the position Position as Ph.D. Research Fellow
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candidate. The overarching theme will be the interplay of training data composition (e.g. different types and selections of data) and fine-grained evaluation in the development of large language models. LTG
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, Innovation and Governance, BIG (Oslo Business School) Journalism and Media Studies, JMF (Department of Journalism and Media Studies) Information, Library and Archival Studies, IBA (Department of Archivistics
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of Mathematics, Section for Statistics and Data Science, invites applications for a PhD fellowship in statistics. We are looking for a motivated candidate, with a deep interest in mathematical statistics, with a
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. Experience with GIS tools, Big Data platforms, or document integration tools is an advantage. Experience from participation in national and/or international scientific collaborations is an advantage
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The intended focus of the position is to advance the research on preference learning for LLMs, including the use of synthetic data, and in particular for data-constrained settings. We welcome applicants with a