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solutions and have the opporutnity to contribute to world-class research, we encourage you to apply! Opporuntities to Contribute Develops dynamic river-lake network models to track the geochemical and
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of all individuals is respected and maintained, the University of North Carolina at Charlotte encourages applications from all underrepresented groups. Applicants subject to criminal background check. The
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applicant will work closely with industry sponsors who will help to guide the project. The Elbert lab and the industry partner are interested in developing mechanistic, predictive models of neurodegenerative
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
models is highly desirable. Create a Job Match for Similar Jobs About The University of North Carolina at Chapel Hill Carolina rates among the nation’s great institutions of higher education, set
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with background and experience in language modeling and interests in applications in the health and social sciences. Specific potential projects include: Using language models for scientific discovery
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AI processes (e.g., model training, inference). Develop agentic AI systems and AI harnessing techniques to enhance model quality, resource optimization, and adaptive execution in diverse workflows
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for Risk Forecasting, Large Language Models (LLMs), and Human-in-the-Loop AI Systems. Our aim is to advance AI for Operations by integrating next-generation AI agents and LLMs with real-world operational
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candidate will investigate how neutrophils and platelets drive thromboinflammation, using confocal intravital microscopy, Luminex multiplex assays, gene knockdown and editing systems, animal disease models
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research laboratory uses stem cells for the study and treatment of diabetes. We have a wide diversity of projects involving stem cells differentiation, genetic engineering with CRISPR, disease modeling
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small animal models is also desirable. The ideal candidate will be highly independent but also able to work collaboratively to advance the research projects collectively. Strong written and verbal