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high level of discretion while handling confidential and sensitive information. Computer literate and skilled in Microsoft Word, Excel, Outlook, PeopleSoft and Image Now. Must be comfortable navigating
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, implementation, and analysis of machine learning models for computer vision tasks (40%). Analysis of natural scene statistics in aquatic and terrestrial environments (40%). Design of models to learn texture
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California State University, Long Beach | Long Beach, California | United States | about 12 hours ago
achievement; building community; and cultivating resilience. College of Engineering Department of Computer Engineering and Computer Science (CECS) Required Qualifications: Ph.D. in Computer Science, Computer
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html Required Qualifications Graduate of a formal radiology technology training program from an AMA approved school
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procedures. • Positions patients accurately to achieve high quality, diagnostic grade images. • Verifies scan quality and performs computer-based image and data processing. • Optimizes imaging techniques and
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Segel lab at Harvard’s Department of Stem Cell and Regenerative Biology (https://hscrb.harvard.edu/labs/segel-lab/ ) explores the biology of aging through the lens of developmental timing and lifespan
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partner, POST Luxembourg , one of the country's largest employers and a leading provider of postal, telecom, ICT, and financial services. The successful candidate will join the Computer Vision, Imaging, and
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data sets (genomics, proteomics, imaging, neuroscience), and related areas at the interface of computer/data science and the life sciences. Applicants must hold a Ph.D. in Engineering, Computer Science
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computer vision methods and their applications Your Profile: Excellent Master’s degree in engineering, computer science or mathematics (or a related field), with a focus on computer vision, image processing
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, perform data analysis utilizing medical imaging data, computer models, and statistical tools. The individual will prepare manuscripts and contribute to the development of grant proposals. The McIntyreLab