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, longitudinal patient and population registries and biobanks. Project description Large language models (LLMs) enable the extraction of clinical information from unstructured medical text. However, current LLM
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will engage with large-scale longitudinal health data, develop and validate computational models, and contribute to methods that will enable pathogen-resolved population research across the lifespan
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ontologies, and domain-specific language models, among many other methods and models. You will engage with large-scale longitudinal health data, develop and validate computational models, and contribute
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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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understand how trees grow and adapt. It is perfect for you who want to combine hands-on field sampling, lab-based DNA work and big-data analysis. WIFORCE Research School Do you want to contribute to the future
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18 Jan 2026 Job Information Organisation/Company Umeå universitet Department Umeå University, Faculty of Science and Technology Research Field Computer science Researcher Profile First Stage
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10 Apr 2026 Job Information Organisation/Company Lunds universitet Department Lunds universitet Research Field Geosciences Researcher Profile First Stage Researcher (R1) Application Deadline 22 Apr
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of ion conductivity in complex battery materials on a large scale. Model‑generated data will be used to identify key relationships between material structure and ionic conductivity through advanced data
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9 Apr 2026 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Department of Chemistry - Ångström Laboratory Research Field Chemistry Researcher Profile First
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In this project, the selected candidate will join us in conducting research in statistical learning, developing data-driven methods to learn models of large-scale signals and systems from data