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LanguagesFRENCHLevelBasic Research FieldAstronomyYears of Research ExperienceNone Additional Information Website for additional job details https://emploi.cnrs.fr/Offres/Doctorant/UMR8254-SYLDES-022/Default.aspx Work
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Position Details Position Information Advertising Department 1 CARD SYSTEM Academic Term/Year SUMMER 2026 Position Title Federal Work Study (On-Campus - Office Assistants) Posting Number 08001
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European biodiversity hotspot - for more information look at https://ser-insr.org/news/2017/12/29/grassland-restoration-in-the-white-carpathian-mountains ). Effectiveness Assessment: Quantifying real-world
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French National Research Institute for Agriculture, Food and Environment (INRAE) | Toulouse, Midi Pyrenees | France | 7 days ago
30 Mar 2026 Job Information Organisation/Company French National Research Institute for Agriculture, Food and Environment (INRAE) Department IHAP 1225 INRAE ENVT Research Field Medical sciences
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 20 hours ago
contributing to education, research, and clinical excellence. Our department provides imaging services across a large academic health system and regional referral network, with a strong commitment to innovation
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Register to other national health registries, providing an unprecedented, population-level life course perspective on the benefits and risks of hormonal contraceptives. By integrating big data and advanced
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occupy on the social and economic ladder. More specifically, we use the quickly increasing availability of large-scale genotype data across Europe, along with detailed register and survey data from several
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The University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 21 hours ago
, or scientific applications. Experience specifying, acquiring, and deploying computer hardware and systems software. Experience in Higher Education. 2 to 5 years of Linux Systems Administration experience. Create
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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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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