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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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well as secondary data wrangling and analyses on large, cross-national datasets from dozens of countries across 4 waves on adolescent identity, school experiences, and social outcomes. This role will also entail
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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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comprehensive excel spreadsheets to track progress; comprehensive data management as required by a large-scale RCT; liaisng with the trial steering committee; contributing to and leading on reports to the funder
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, and information regarding benefits can be found at https://mybenefits.nfp.com/UChicago/postdoctoral/benefits-guide/ . Additional information for postdocs in the University of Chicago Biological Sciences
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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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, 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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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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applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https://www.cragenomica.es/sites