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Field
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
. The Department Biostatistics at UNC Chapel Hill has numerous exciting research programs of relevance to health science, including focus areas in genomics and big data. This position is funded by a training grant
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numerous applications, including electric vehicles and the integration of renewable energy sources. In light of the circular economy and the principles of responsible consumption and production, utilizing
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that integrate simulation, machine learning, and data analysis. Numerical optimization methods (e.g. machine learning including deep neural networks, reinforcement learning, data mining, genetic algorithms
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, communicating and solving any potential problems that arise with analyses or other aspects of research projects; Contributing to reports, presentations and publications by preparing numerical and graphical
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developing machine learning surrogates and emulators for dynamical systems. Proficiency in managing large datasets and training with GPU-enabled computing resources. Expertise in numerical optimization and
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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | 3 months ago
interactions, ocean processes, ocean-atmosphere interactions, and ice sheet-climate interactions as well as investigations of more accurate numerical methods. Location: Goddard Institute for Space Studies New
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means of CMOS-based high density microelectrode arrays (HD-MEAs). The overall goal of this project is to combine advanced optical methods for light-stimulus shaping with high-spatiotemporal-resolution
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, genomic datasets, machine learning, and experimental methods to investigate how the tumor microenvironment and gene regulatory factors control tumor metastasis cascade. By advancing our understanding
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to apply. The position will be under the direction of Professor Anthony Yeates and will primarily involve optimisation of a numerical magnetic field model for the global solar magnetic field against
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-core fibers. Fluency in English, both in oral and written forms. Highly meritorious: Knowledge in theoretical/numerical methods for simulation of thermo- and fluid dynamics. Knowledge in optics. Ability