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-institutional, NIH-funded research initiative within the Computational Microscopy Imaging Lab (CMIL) focused on integrating digital pathology, spatial omics, and clinical datasets into an AI-enabled modeling
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for the CSE. Develop and maintain learning analytics that inform progress, continuous quality improvement and summative reporting to program leadership. Report recurring updates and data summaries to leadership
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IFAS. This individual will have expertise in computer science, industrial and systems engineering, or related fields to contribute to cutting-edge research at the intersection of food systems, packaging
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clinical fellows, working on the Primary Investigators’ research studies. Train new lab personnel on various analysis methods. Coordinate and maintain required compliance training to ensure that lab members
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whose work explores the integration of computation and design thinking across scales—from material systems and construction methods to urban systems and adaptive environments. Responsibilities: Teach
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healthy and tumor-bearing animals using machine learning and AI approaches; and (3) integration of PBPK and QSAR models with AI methods to develop AI-assisted computational approaches to support decision
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whose work explores the integration of computation and design thinking across scales—from material systems and construction methods to urban systems and adaptive environments. Responsibilities: Teach
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, faculty, staff, university leadership, and corporate partners. Responsibilities: Strategic Leadership Develop and execute strategic plans to elevate program rankings and visibility. Lead curriculum
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, faculty, staff, university leadership, and corporate partners. Responsibilities: Strategic Leadership Develop and execute strategic plans to elevate program rankings and visibility. Lead curriculum
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, leadership development, LinkedIn Learning, and more Tuition Assistance through the UF Employee Education Program Public Service Loan Forgiveness (PSLF) Eligible Employer Learn more about what we have to offer