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experience and expertise in web-scale data curation, development of large language models (LLMs), and in-depth LLM evaluation. LTG has a strong commitment to open-source resource and software development
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, develops, and implement flexible and innovative IT architectures as a part of the platformization strategies. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/294543/phd
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begin in the new Life Science Building , with access to state-of-the-art equipment and a large interdisciplinary environment spanning chemistry, pharmacy, bioscience, and medicine. For more information
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investigate the role of the gut microbiome in colo-rectal cancer development based on data and biospecimens from a unique longitudinal cohort. The material is derived from a large, population-based Norwegian
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questions and data of CREATE. The successful candidate will conduct advanced methodological and psychometric research. Potential topics include (a) AI, machine learning, and large language models
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activities carried out in the Hydrodynamical Laboratory at the Department of Mathematics. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/294736/phd-research-fellow-in
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active galactic nuclei. The successful candidate will also post-processing large sets of simulation data and make detailed comparison with multi-wavelength observations of the stellar and gaseous
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results in foundational neural models, where models learn from large unlabelled image datasets, but also on additional data like clinical reports or electronic health rec-ords. The work will be done in
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results in foundational neural models, where models learn from large unlabelled image datasets, but also on additional data like clinical reports or electronic health rec-ords. The work will be done in
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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