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and intelligent vision systems, including efficient learning and inference of complex AI/ML algorithms, specialized neural processing hardware and design tools, and ML security, and their applications
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, Naval or Aerospace Engineering. Is less than 5 years post receiving the Doctoral degree. First-author peer-reviewed published papers (and/or under review). Demonstrable research experience involving
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
Hill seeks a computational postdoctoral researcher to develop and apply methods for integrating single-cell sequencing and imaging data within controlled cell-line model systems. The project focuses
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imaging modality. Preferred Qualifications: Work Experience: Preclinical MRI MRI pulse sequence development and optimization Quantitative MRI analysis Image reconstruction and image processing using Bruker
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Position Overview School / Campus / College: School of Medicine Organization: Radiology Title: Postdoctoral Scholar, Department of Radiology, Diagnostic Imaging Sciences Center (DISC) Position
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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the forefront
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hospitals in the Central Denmark Region. We have approx. 30,000 square metres of modern research facilities for experimental surgery and medicine, animal facilities and also advanced scanners at our disposal
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analysis, kinetic modeling, data analysis, and results dissemination. Qualifications: The ideal candidate will have some prior hands-on experience in preclinical PET/CT or PET/MR imaging, image processing
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of storing, processing, and retrieving information in acoustic waves that complement conventional quantum technologies. For more information about the research/project, please see: New Frontiers of Sound
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, multispectral and infrared imaging, spectroscopy, image processing, computational analysis, and clinical investigation to develop technologies that can improve diagnostic accuracy and reduce disparities in care