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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Carolina at Chapel Hill invites applications for a Postdoctoral Research Associate position in astronomical data pipeline development supporting the upcoming Argus Array, with a focus on optimizing image
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work on supercritical carbon dioxide technology. The postdoctoral researcher will focus on developing and optimizing supercritical carbon dioxide systems for processing food ingredients. Responsibilities
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University, to begin as early as July 1, 2025. Topics include the experimental quantum simulation of chemical and condensed-matter systems using 1D and 2D ion arrays, and the development and optimization
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Postdoctoral Research Associate: Drug Development Targeting Neuroinflammation in Alzheimer's Disease
& Responsibilities Work with Principal Investigator and Co-Investigators to develop and execute research projects. Conduct independent research experiments, including data collection and analysis. Test, optimize, and
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activity and people positively impact the world. Like the city we call home, UB is distinguished by a culture of resilient optimism, resourceful thinking and pragmatic dreaming that enables us to reach
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the project. Strong research profile in the applications of machine learning, artificial intelligence, multi-objective optimization, spatiotemporal modeling, and processing of satellite and high-frequency flux
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, multiscale modeling, optimization, topological/geometric data analysis, among others. • Strong programming skills and experience (e.g., Python, R). • (Preferred) Interdisciplinary research experience with
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the circuit design; Circuit design optimization; Using Cadence for circuit design and ADS for RF circuit design; Circuit implementation and characterization; Plays a key role in helping and guiding graduate
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representation learning, and real-world data modeling to stratify risk and optimize MHT formulations. The candidate must thrive in a multidisciplinary, fast-paced research environment and work independently and
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candidate will develop innovative methodologies for data-driven analysis and process optimization, incorporating advanced modeling techniques and real-time analytics to enhance quality control and improve