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of mycobacterial enzymes and large protein complexes. Set up and perform cryo-EM experiments, including data collection, processing, and structural analysis. Provide mentorship to students and junior researchers in
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toolsets: generating proxy data reflecting surface ocean changes, and simulations of sea level changes using comprehensive ice sheet models. The sea level in the Eemian was much higher than today, 3 to 6 m
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Award at the University of Sheffield. We aim to develop retrieval-augmented, multi-modal, and explainable Large Language Models (LLMs) for healthcare fact-checking. Reliable healthcare information is
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Are you passionate about mathematical control theory and its applications? Are you eager to develop estimation and control algorithms for large-scale dynamical systems with the aim of making next
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, large-scale biomedical datasets, including UK Biobank and the CPRD. It will integrate complex longitudinal data—including harmonized EHRs, genetics, and the novel features captured by the LLM—to generate
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development of large language models Support participant screening, recruitment, and scheduling Data collection and analysis Transcribe qualitative data Organise and manage research materials, equipment
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of health outcomes in the general population using molecular, socioeconomic, and environmental data. You will work with very large, globally unique registry, medical, and molecular data from CBS and ELAN
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analysis, as well as familiarity with electronic health data, will be distinct advantages. Experience in large-scale machine learning modeling is also required. Strong writing and communication skills with
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and analysis. Demonstrated ability to apply appropriate statistical methods for complex research designs involving cross-sectional and/or longitudinal data. Demonstrated ability to manage large datasets
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
integration, modeling cancer vulnerabilities, designing tools for data interpretation and visualization, and/or training foundation models and large language models (LLMs) for diverse biomedical applications