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University of California, San Francisco | San Francisco, California | United States | about 2 months ago
, and biostatisticians. We seek a data scientist to join our team to develop AI/ML-based algorithms to support clinical decision making, hospital performance improvement efforts, and more. This position
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an interdisciplinary and international environment. Candidates should send their applications by April 30th through https://cv.newton-6g.eu/ Incorporations will begin in May 2026. DC1: Data-driven models for CF networks
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Code 9791AO Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Job description: 50%: Lead and conduct research in the development and application of algorithms
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. The first workstream, AI and democracy, explores how algorithmic systems affect democratic institutions, deliberation, and participation -- probing questions of how AI concentrates or disperses political
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. Cleaning, structuring, and annotating the data needed to train and validate AI models. Development of AI modules and alert systems: Development and integration of algorithms for analysis, anomaly detection
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.) ● Demonstrated experience in method and tool development (e.g., new algorithms, tools, or computational frameworks) ● Evidence of interdisciplinary research, bridging computational and biological domains
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(Position P): Agricultural AI data integration and management based on LLM In the context of the MSCA JD project GreenFieldData https://www.eu4greenfielddata.eu/ GreenFieldData: IoRT Data Management and
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) - Isabel.neatrour@newcastle.ac.uk Weblinks: EJS ACT-PD study: https://www.ejsactpd.com/, Brain and Movement Research Team: http://bam-ncl.co.uk/ The Institute is part of the Faculty of Medical Sciences which holds a
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or related areas. No prior knowledge of cryptography is required. Expertise in optimization or efficient algorithm design will be considered an asset. Applications should include a CV, a list of publications
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Website https://emploi.cnrs.fr/Candidat/Offre/UMR8190-JEARAU-003/Candidater.aspx Requirements Research FieldEnvironmental scienceEducation LevelPhD or equivalent Research FieldEnvironmental scienceEducation