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Field
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development of detectors sensitive to ultra-high dose rates. Developments of computation methods for small-field dosimetry, radiation detection systems used in photon, proton, and electron beam radiation
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candidate who will support the development, implementation, and evaluation of methane and NH3 modeling and enhancement from livestock animals and manure housing and management in small farms or watersheds
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
. * Developing computational and algorithmic approaches to understanding the neurobiological mechanism of neurodisorders. * Interact cross-functionally: work with people across the team to find creative solutions
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Astronomical Software Development. Excited by the prospect of leading and participating in early science with Rubin Observatory and the Legacy Survey of Space and Time (LSST; http://lsst.org ). Enthusiastic
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
development of data processing tools. The position is for one year with the possibility of reappointment for an additional year. It will involve developing, implementing, and validating novel algorithms
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of pediatric cancer patients and discover the impact of therapeutic exposure on development of secondary neoplasms in adult survivors. Position Responsibilities: Evaluate bulk-tumor deconvolution algorithms
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postdoctoral scholars, working on the development of a core, scalable methodology. This methodology leverages existing spatial data on landscapes, fire behavior, and fuel treatments to evaluate real-world
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 14 hours ago
. Description: Uncertainty quantification is a field with wide applicability to the design, development, and science return of space science missions. There is growing interest for the tools and practices
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, machine learning, and control in the energy sector. The postdoc researcher will perform theoretical study and algorithm development on optimization/control/data analytics methods and authorize peer-reviewed
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Science and Engineering, or a related area is required. The position will involve developing models and algorithms for the evolution of inorganic aerosols in the atmosphere, building upon the research