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backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician
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and growing academic surgical research program. This fellowship is designed to provide comprehensive training in clinical research methodology, outcomes research, clinical trials, and translational
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following areas: -Biophysical instrumentation development: optical and mechanical design, simulation, development and control -Optical imaging; Single-molecule fluorescence and FRET; Lasers; Pump-probe
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findings to inform product-market fit, sensor design, and deployment strategy · Prepare results into a manuscript for peer-reviewed journal · Communicate project progress and coordinate with research team
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designing cropping systems is matching the management practices with the local soils and climate. While research stations and test sites are valuable tools in designing cropping systems, experimental stations
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for understanding how AI-enabled control, optimization, and market design can support large-scale decarbonization, grid modernization, and the integration of distributed and flexible energy resources. Research topics
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biological systems, with an emphasis on autonomous reasoning, decision-making, and reinforcement learning. The postdoctoral fellow will design, implement, and evaluate agentic AI frameworks that integrate
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-Latin American research, design and the history of design, education, hip-hop, African studies, the African diaspora, African American studies, literature, and creative writing. Fellows are provided with
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computing applications—mainly for a SWaP-constrained AV—using hybrid electro-photonic accelerators. We propose to design and prototype a complete electro-photonic computing (EPiC) system (CPUs + accelerators
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of SGLT2 inhibitors using mice models of kidney diseases. Contributing to the development of uremic toxin measurements in mice and human. Collaborating with faculty and staff on research design, data