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to assign rain/hail classifications, 2) assist with the development of a Random Forest Classifier model designed to improve the automated analysis of HailCam data, and 3) process high-resolution hail images
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processing for wireless communication systems including satellite communications and radar systems and is currently expanding its research activities in exploring several emerging use cases of next generation
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(AutoML) platform to output Machine Learning/Deep Larning models focused on image analysis. In this sense, the focus will be the development of several modules: a module to load, process and store images
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for quality and proper format. Makes notation when images are to be repeated, and the proper technical factors needed for correction. Provides patient education prior to, during, and subsequent to the procedure
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 13 hours ago
of active surface processes. Artificial Intelligence (AI) has the potential to collaboratively focus researchers on candidate regions of interest that otherwise would be obscured by sheer dataset scale
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researcher will primarily work on developing methods for the analysis and interpretation of large datasets, where data are generated in the form of microscopy images and electrical signals from experimental
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fundamental radar wave propagation equations into the diffusion process, allowing for more accurate and physically consistent image restoration. The developed framework will be able to transfer knowledge
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Postdoctoral Fellow in innate immunity Employer: Mount Sinai School of Medicine Research lab: Teunissen lab Institute Biomedical Engineering and Imaging Institute PI: Dr. Abraham Teunissen Location
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currently supports all cardiopulomanary bypass cases ranging from complex neonates through adult congenital patients, cardiac catheterization lab, non-cardiac surgery for patients with significant congenital
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Posting Details Posting Details Job Title Radiology CT Tech/UKHC Requisition Number RE52770 Working Title Radiology CT Tech nights Department Name H6250:Imaging Services Work Location Lexington, KY