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of fertilizers into the soil. The project aims to develop and optimize innovative porous carriers to enhance fertilizer efficiency, controlled release, and sustainability in agricultural applications
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Responsibilities: Conduct programming and software development for graph data management. Design and implement machine learning models for optimizing graph data management. Conduct experiments and evaluations
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uses. To investigate feature-level just-noticeable difference modelling for machines to facilitate assessment and optimization. To formulate a comprehensive visual feature codec for machine uses
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, the candidates will learn strategies and techniques for LC-MS analysis, drug optimization and lead drug candidate selection, pharmacokinetics and drug metabolism, clinical sample analysis and clinical
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, develop, and optimize new methods and techniques to address critical project or functional area needs. Participants will improve existing or develop new laboratory methods and processes, read and adapt
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design, enabling timely analysis during design cycles. These components significantly impact engine/airframe integration and fuel burn, making efficient design methods essential for optimizing overall
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yeast and fungi for food ingredient and biochemical production. The specific goals are: Metabolic engineering of Yarrowia and Candida yeasts for organic acid production Design and optimization
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research across NIH and the federal government to foster knowledge and optimize health across the lifespan. What will I be doing? As a fellow, you will collaborate with NIH scientists on an evolving area of
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Falls Posting Context Statement Position Overview Lead research projects focusing on developing and optimizing network protocols for power systems. Explore innovative applications of AI in modeling and
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within the predetermined research scope and methodology of department and university. Develop a theoretical framework for certifiable trajectory optimization based on quadratically constrained quadratic