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Field
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at the intersection of learning sciences and artificial intelligence, with particular focus on large language models (LLMs), generative AI (GenAI), and assistive AI as tools and partners in learning, identity
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. The candidate will have the opportunity to interact and collaborate with the rich community of basic and translational scientists at CU School of Medicine, as well as a team of surgical oncologists. Salary and
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/scholar of their choice who is a faculty member in one of the CASE departments (https://case.fiu.edu/academics/index.html ). Scholars are expected to engage in research that advances the research priority
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to cutting-edge research on spectral CT, quantitative imaging, and artificial intelligence. Position Highlights: - Research Focus: Engage in impactful research, focused on spectral CT, quantitative imaging
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) and healthy controls, funded by a NIH NIGMS ESI-MIRA (R35) (https://anesthesiology.duke.edu/news/nih-grant-awarded-explore-microbial-influence-sepsis) . This position is ideal for a highly organized
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Research Center for Molecular Medicine (CeMM), ÖAW | Vienna, Virginia | United States | about 2 months ago
opportunity to engage in close interactions with physicians and clinical researchers at the Medical University of Vienna and St. Anna Children’s Hospital on one of Europe’s largest medical campuses
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in rank, training, and field or discipline; internal equity; and external market pay for comparable jobs. Link to Apply: https://uic.csod.com/ux/ats/careersite/1/home/requisition/19915?c=uic About the
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mission by aligning behaviors, priorities, and interactions with our cove values of Impact, Integrity, Teamwork, Safety, and Science. As a member of the ORNL scientific community, you will be expected
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on the development of cutting-edge AI-ready/agentic infrastructure for data and model discovery, model metadata extraction, and scholarly intelligence. The project will explore conceptual frameworks and system
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PostDocs on the development of cutting-edge AI-ready/agentic infrastructure for data and model discovery, model metadata extraction, and scholarly intelligence. The project will explore conceptual frameworks