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University. This research opportunity will be focused primarily on the development and application of novel computational algorithms to analyze and integrate diverse omics datasets, including single-cell RNA
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omics to advance biological and clinical discoveries and develop next-generation theragnostics. The postdoctoral fellows will mainly focus on (1) creating novel computational algorithms to analyze and
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computational models and systems using algorithms and analytics for materials and related physical sciences for a broad range of energy, transportation, and advanced manufacturing applications. Major Duties
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systems. Includes establishing medical reasoning benchmarks and automated / scalable evaluation methods. Developing recommender algorithms to predict specialty care with large-language model based user
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
is available at UNC under Prof. Mohit Bansal in the UNC-NLP Lab. The focus of this NLP+ML postdoc position will include, but is not limited to, multimodal+embodied semantics, human-like language
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
of models and observational data using Python, Matlab, R, etc. Expertise required in developing new models, algorithms for dispersion, gas-phase chemistry and/or aerosol microphysics model Preferred
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available at: http://www.unr.edu/cee/ Contact Information All inquiries should be directed to Prof. Hamed Ebrahimian (hebrahimian@unr.edu ) or dor@unr.edu Exempt Yes Full-Time Equivalent 100.0% Required
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
, algorithms for dispersion, gas-phase chemistry and/or aerosol microphysics model. Preferred Qualifications, Competencies, and Experience Desired qualifications are a) atmospheric and aerosol chemistry, b
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. The successful candidates will work with Prof. Justin Little in the Space Propulsion and Advanced Concepts Engineering (SPACE) Lab. We are looking for candidates interested in exploring at least one of the
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position to develop and apply advanced analysis methods, including artificial intelligence and machine learning algorithms and approaches, for x-ray science and instruments. These methods will accelerate