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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 hours ago
scholar to conduct in-depth analysis of stratospheric data, using data from the Microwave Limb Sounder (MLS) as well as complementary datasets like the Atmospheric Chemistry Experiment Fourier Transform
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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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, 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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seeking a Computational Research Assistant to support a research project focused on evaluating how clinicians interpret continuous glucose monitoring (CGM) data and how these interpretations compare
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research assistant for his ERC-funded research project. The chosen candidate will build and operate large-scale data collection pipelines from web sources (full details in sections below). Job location
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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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engagement area, all aimed at creating a collaborative environment. University of Texas at Arlington Research Institute (UTARI) https://utari.uta.edu/ Center for Artificial Intelligence and Big Data (CARIDA
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information can be found here: https://hr.jhu.edu/benefits-worklife/ . Equal Opportunity Employer The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end
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Project summary: Project examines whether Large Language Models (LLMs) embed systematic political ideologies that influence their financial judgements. Extends a novel auditing framework to measure