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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
Job Summary The Executive Director Inpatient Imaging Services provides strategic, operational, and financial leadership for UCSF’s inpatient imaging enterprise across all inpatient adult & pediatric
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experience with imaging, image processing, and/or visualization, as well as excellent programming skills. You must have a relevant Master's degree in computer science, electrical engineering, imaging science
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(e.g., imaging fluorescent proteins in C. elegans ) Data analysis (image processing, quantification, statistics, etc .) C. elegans husbandry (animal maintenance, etc .) Assist with general laboratory
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on specialized software installations for teaching laptop cart and computers (Windows and Mac) in Geoscience teaching and research spaces. Coordinate with IT on campuswide computer upgrades, imaging, and
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will explore public, stakeholder, and decision-maker perspectives on lockdown strategies, exit processes, and communications. Using co-design workshop methods, the student will develop a prototype
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-assisted image analyses. Candidate must be capable of working independently but importantly must be willing to work as part of a team. The RAI will participate actively in bench research as well as data
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The scientific activity will deal with SAR image processing and analysis
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Crew Leaders support CCE of Schenectady County’s Roots and Wisdom program by teaching and mentoring youth as they learn about sustainable agriculture, teamwork, and essential life skills. Roots and
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of deep learning in many disciplines, particularly computer vision and image processing. Consequently, coding architectures based on deep learning and end-to-end optimization have been proposed [Ding 2021