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Modelling, Applied Statistics, Linguistics, Data Analysis, Large Language Models, Machine Learning. Start date: 1st October 2026 Deadline: 30th April Duration: 36 months Funding: Funded Funding towards
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Management Maintain and organize large, multi-modal imaging datasets (EUS, MRI, and associated clinical data). Ensure accurate data tracking, naming consistency, and version control across storage systems
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-0830 Description of Work: The University of Nebraska-Lincoln is tackling big challenges in beef production, blending cutting-edge research with practical solutions to help producers thrive
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experience in the processing and integration of massive datasets (‘big data’), they will contribute to ecological modelling, environmental impact forecasting, and soil biodiversity analysis in the central
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, Computer Science, Engineering and Genomics. Previous experience working with disease vector data is not essential and we encourage all applicants interested in large-scale data management, computational design and
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for a research environment where scholars can utilize state-of-the-art Large Language Models (LLMs) to interrogate their data with open infrastructure, ensuring that the future of SSH research remains
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entering data • Creating and managing study databases and data dictionaries • Importing, merging, and transforming large datasets • Linking person level data from multiple large data sources • Cleaning and
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Analysis of Big Data and be involved in research projects in these and other areas. Our international faculty provides a variety of research opportunities, examples are outlined in the table of research
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, harmonization, aggregation and analysis of clinical data for a large ophthalmology repository. Extract information from unstructured electronic health record text using large language models (LLMs) and clinical
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that they can integrate it into their large-scale quantum computer system engineering models. SKILLS. Candidates must have a high-quality background in quantum information or quantum physics, and an