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heterogeneity of their environments. For more details, please view https://idmxs.org/ . Key Responsibilities: Design, prototype, and optimize passive microfluidic cartridges integrating plasma-separation
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optimized for single-molecule mechanical manipulation. Develop, refine, and implement automated data analysis pipelines using Igor Pro (or MATLAB, Python). Mentor graduate and undergraduate students within
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to conduct the research on development of analysis framework on how to build up a generic framework to use learning-assisted approach to solve various optimization problems Develop mathematical modeling
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nitrogen-rich fertilizer essential for optimizing crop yields and sustaining global food production. Currently, urea is predominantly synthesized through the Bosch-Meiser industrial process, which relies
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devices, and advanced electrical detection techniques. Key Responsibilities • Electrical interfaces for diamond quantum systems: Lead efforts to develop and optimize electrical approaches for detecting
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Dynamics (CFD) simulations to optimize the design and performance of floating breakwaters. Develop finite element models for stability assessment, structural integrity, and dynamic response of floating
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proteins for high quality alternative protein foods including through high moisture extrusion. Key responsibilities will include: Explore innovative methods for food process optimization including the use
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ecosystems where interconnected multi-agents interact strategically in dynamic and uncertain environments. While Artificial Intelligence (AI) optimizes predictions or policies, energy systems are inherently
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encompassing data-driven electrolyte screening, molecular dynamics simulations, and experimental validation to bridge the gap between AI predictions and practical battery performance. The optimized electrolyte
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, and experimental validation to bridge the gap between AI predictions and practical battery performance. The optimized electrolyte formulations are expected to satisfy the strict requirements of high