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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 19 hours ago
degradation, artificial intelligence, inequality reduction, building just societies, conflict resolution, global governance, democratic erosion, health access, and science policy. The full job description is
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, artificial intelligence, inequality reduction, building just societies, conflict resolution, global governance, democratic erosion, health access, and science policy. The full job description is available here
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, Texas Job Type Staff Job Description Texas A&M AgriLife Research at Corpus Christi is seeking a highly motivated scientist specializing in Data Analytics and Artificial Intelligence (AI). This position
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 13 hours ago
such as climate adaptation, environmental degradation, artificial intelligence, inequality reduction, building just societies, conflict resolution, global governance, democratic erosion, health access, and
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. Investigate vascular dysfunction and neuroinflammation in three-dimensional cellular models, Utilize cutting-edge techniques including confocal microscopy, physiological and shear flow, and artificial
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: 6468573 Postdoctoral Employee - Artificial Intelligence - Electrical Engineering and Computer Sciences Department Position overview Salary range: The UC postdoc salary scales set the minimum pay determined
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 hours ago
/or machine learning/artificial intelligence algorithms. Projects may also include work focused on the analysis of spatial and geographic data and work extrapolating results to different spatial scales
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understanding of artificial intelligence applications and methodologies, such as working knowledge of generative AI tools, use of large language models, machine learning, and ethical frameworks for AI
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. Within the ERC-funded multiCODE project, we aim to unravel how plants control gene expression across different tissues and stress conditions by combining single-cell genomics, artificial intelligence, and
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(CATION) Within the PIIO, the Center for AI in Immuno-Oncology (CATION)—directed by Dr. Qin Ma Ma—is redefining how artificial intelligence transforms cancer research and treatment. CATION develops