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. Designs studies and performs magnetic resonance imaging (MRI) experiments in living rodent models to complete the work proposed in funded grants (CPRIT, NIH, other grants). Develops and optimizes scan
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Persistent Name yt-player-bandwidth Use Is used to determine the optimal video quality based on the visitor's device and network settings. Lifetime Persistent Name yt-remote-connected-devices Use Saves
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to maintain system stability during major disturbances (e.g., generator outages, transmission line failures, or system separations) Developing methodologies for optimally allocating these services based
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 hours ago
and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. OUR VISION Our vision is to be the nation’s leading public
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, testing, and demonstration of novel CCUS technologies Process simulation, cost, life cycle, and social assessment of CCUS value chains Reactor design, optimization, and sizing using phenomenological and/or
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Computer Science or Mathematics, ideally with a background in one or more of the following areas: Optimization, Game Theory, Machine Learning Applicants must demonstrate: • An excellent academic record, including
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, climate, and human health. Examples of current active projects include: Developing optimization models to analyze and mitigate fine particulate matter (PM2.5) exposure from various infrastructure systems
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bacterial genomic sequences. The successful candidate will play a key role in developing and optimizing these models, applying them to diverse bacterial use cases, and contributing to the development
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technical background in at least one of the following areas: Mathematical optimization, Resource allocation, Machine learning, Wireless communication. Good communication skills in oral and written English
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friendly coatings. Key Responsibilities Research and Development: Design, synthesize, and characterize green or ecological materials for agronomic applications. Material Optimization: Develop functional