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culture of resilient optimism, resourceful thinking and pragmatic dreaming that enables us to reach others every day. Visit our website to learn more about the University at Buffalo . University at Buffalo
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
with advanced statistical techniques (optimal Bayesian, Markov Chain-Monte Carlo, etc.) to solve the forward and inverse problems involved. Additional information about AGAGE, CS3, and MIT atmospheric chemistry
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, synthesis, and optimization of magnetic materials, alloys, and critical-materials chemistries. Particular emphasis will be placed on efficient utilization of critical elements, rare-earth processing and
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of dynamical systems, which will be integrated into large-scale optimization frameworks to enhance the efficiency and reliability of power grid operations. The Postdoctoral Appointee will be responsible
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for transportation prediction, system optimization, and environmental/health impact modeling Deployment of decision-support tools for public-sector clients (municipalities, MPOs, DOTs) Urban mobility, equity
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. These insights will then be integrated with genomic large language models to design optimized regulatory patterns for modern maize, which will be validated in collaboration with a nationwide team. Modeling
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systems • Healthcare operations, resource allocation, and workflow optimization • Network, graph, and agent-based modeling for care delivery • Health equity, patient access, and system resilience • Multi
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performance testing (e.g., polarization curves, EIS). Design and execute experiments for materials optimization and degradation analysis. Maintain and operate laboratory equipment, including potentiostats
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: Investigating the biological mechanisms governing urothelial exfoliation and regeneration. Optimizing stem cell engraftment after urothelial exfoliation Developing diagnostic and therapeutic tools to improve
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computational research in accelerator science and technology. The focus is on developing and applying machine learning (ML) methods for accelerator operations and beam-dynamics optimization in advanced