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Skip to Main Content Toggle navigation Home Search Jobs Job Alerts Log In /Create Account Help Artificial Intelligence (AI) / Machine Learning (ML) Engineers Bookmark this Posting Print Preview
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at a computer workstation for extended periods of time; and occasionally working at heights above four feet and/or in confined spaces. Also involves regular to occasional risk of injury from moving
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sitting at a computer workstation for extended periods of time and performing tasks with repetitive motions (such as typing). Also involves some risk of injury from moving, lifting or positioning patients
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Posting Details Posting Details Job Title Radiology CT Tech/UKHC Requisition Number RE55644 Working Title CT Technologist - WEPP - Weekend Plan Department Name H6250:Imaging Services Work Location
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Posting Details Posting Details Job Title Radiology CT Tech/UKHC Requisition Number RE54317 Working Title CT Technologist - Good Samaritan Department Name H6250:Imaging Services Work Location
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vision, machine learning, computational imaging, surgical data science, biomedical engineering, medical image computing or a closely related discipline. They should have strong knowledge of AI, computer
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, and collaborative development experience with artificial intelligence or machine-learning tools and methods, particularly their application to mathematical research or software development. This may
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Applications are invited for a post-doctoral position in the Sir Peter Mansfield Imaging Centre (SPMIC), Mental Health and Clinical Neurosciences, School of Medicine at the University of Nottingham
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George Washington University | Washington, District of Columbia | United States | about 10 hours ago
to include materials, environmental science and application, synthesis, heavy metals, AI/machine learning, and radionuclides. The Department has teaching needs in our graduate and undergraduate programs
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. The research combines robotics, computer vision, artificial intelligence, machine learning, control systems, and medical robotics to solve one of the most challenging problems in modern automation. Project