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for this position. Skills: Computed Tomography (CT) Image Processing, Magnetic Resonance Imaging (MRI) Driver's License: A driver's license is not required for this position. More About This Job WashU seeks highly
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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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engineering (focusing on deep learning for computer vision), and the division of statistics and machine learning at the department of computer and information science (focusing on the theory behind machine
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California State University, Long Beach | Long Beach, California | United States | about 14 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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Manometry system. Chest Wall Malformation program including Pediatric Pulmonary and Physical therapists with black bone imaging capabilities, use of cryoablation and the new pectus Blu system. Multi
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utilization data and develop recommendations for future technology, space, or resource planning. Experience maintaining shared computer lab environments, standardized software images, or centralized software
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bicycle scheme; For more information about employment conditions, see https://www.universiteitleiden.nl/en/working-at/job-application-procedure-and-employment-conditions What we value Promoting an inclusive
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Posting Details Position Details Title Multiple, Tenure-Track Faculty Positions in Computer Engineering Appointment Status Tenure Track Department IU Bloomington Vice Provost For Faculty Affairs
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of cancer treatment for patients as well as reducing workload for clinicians. Collaborate with experts in AI, data science, and medical imaging to develop integrated solutions. Engage in translational
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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