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collaboration with the UF Artificial Intelligence initiative. The successful candidate will have the opportunity to work on cutting-edge projects aimed at building large-scale models for neuroimaging and
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graduate education. Familiarity with artificial intelligence and redesign of systems to work with new technologies. Comfortable with leading change initiatives. Special Instructions to Applicants: In order
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Description: The Intelligent Critical Care Center (IC3) is a multi-disciplinary center focused on developing and providing sustainable support and leadership for transformative medical AI research, education
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is prepared to thrive within a highly competitive R1 research university with demonstrated expertise in the areas of computational design, digital fabrication, robotics, or artificial intelligence
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, immersive, and artificial intelligence (AI2) research and innovation to transform the diagnosis, monitoring, and treatment for critically and acutely ill patients using the multimodal clinical and research
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artificial intelligence (AI2) research and innovation to transform the diagnosis, monitoring, and treatment for critically and acutely ill patients using the multimodal clinical and research data and resources
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& Information Technology, a 260,000 sq feet facility that serves as the hub for Artificial Intelligence, opened in Fall 2023. The College will reach 300 faculty members this year. For more information about our
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of exceptional BMI faculty members. Research · Leading an individual research program combined with the overall advancement of biomedical informatics research at UF, with an emphasis on artificial intelligence
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is prepared to thrive within a highly competitive R1 research university with demonstrated expertise in the areas of computational design, digital fabrication, robotics, or artificial intelligence
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management, irrigation, subsurface drainage, and water table management by leveraging the latest technologies, artificial intelligence (AI), crop modeling, and data science applications; 2) develop remote