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Field
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(e.g., wavefront shaping, beam switching, non-Hermitian photonics, miniaturization of optical components and fundamental limits) and optimization theory (e.g., linear and quadratic programming, manifold
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digestion), and should have documented capabilities using a variety of simulation and optimization techniques. Familiarity with electric power grids and rate structures is highly valued, as is experience with
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algorithms for the scanner using machine learning and deep learning. Qualifications: The position requires some background in machine learning, optimization, and deep learning. Some familiarity with MR physics
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 9 days ago
personal 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
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including engineering, economics, and environmental science. Experience developing mathematical or computational models for simulation and optimization of energy/economic systems in ASPEN Plus® and/or Julia
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
focuses on optimizing rehabilitation, exercise, and lifestyle interventions to preserve function and delay disability in adults with rheumatic and musculoskeletal diseases, such as rheumatoid arthritis and
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mar345 Image Plate detector. An Osmic VariMax optics system and the Proteros Free Mounting System can be used to control the humidity and to optimize diffraction characteristics, including resolution
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areas Biomedical applications, social determinants of health or other demographic health areas Spatial microsimulation, spatially weighted regression, combinatorial optimization or Bayesian network
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including the integration of large-scale human genome-wide association (GWAS) with bulk and single-cell (e.g. scRNA-seq and scATAC-seq) sequencing, optimization of in-vitro and in-vivo exposure protocols, and
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a possible extension depending on the availability of funds. The individual will be involved in ongoing research projects involving developing, implementing, optimizing, and applying MR-based