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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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: “The Biomedical Data Translator.” https://ncats.nih.gov/research/research-activities/translator These programmers will develop the following components to be incorporated into the ARAX (https://github.com/RTXteam
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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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. Please check our website (www.ec2-big-nse.de ). Submit application to https://www.ec2-big-nse.de Accommodation The BIG-NSE administration office supports students in their search for suitable accommodation
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ExperienceNone Research FieldChemistry » Computational chemistryYears of Research ExperienceNone Additional Information Website for additional job details https://emploi.cnrs.fr/Offres/Doctorant/UMR8000-FABCAI0
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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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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 11 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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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 15 hours ago
Position Details Position Information Position Title Part-Time Academic (ARCH 4303: Professional Practice) - Summer 2026 Posting Number PTAP3254P Department/Unit Architecture Location Halifax, Nova
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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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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