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Learning and Computer Vision Objetives: This work aims to study, develop and implement computer vision methods to detect and classify areas with imaging alterations from MRI and CT scans
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calendar days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled anytime after the minimum posting period has
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accessed at the bottom of this page. If you wish to discuss the post informally, please contact Peter Lee (peter.lee@ucl.ac.uk), or for application process queries Ruikang Xue (ruikang.xue@ucl.ac.uk). About
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the interview process. Job Summary The Radiology Technologist will provide diagnostic imaging for patients to assist the patient’s physician in expediting needed care. Job duties include performing or assisting
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questionable, contacts the ordering physician to verify the order Maintains patient privacy Maintains a clean work area and a properly stocked examination room Assures that images are stored under the correct
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risk—paving the way for better-targeted prevention strategies. We have obtained funding for a 2-year full time post-doc position, starting date between February 2 (earliest) and May 4 (latest) 2026
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recruitment process is available from HR, e-mail: hr-soendre@adm.ku.dk, please refer to ID number: 211-1568/25-2B How to Apply Submit a complete application at our online portal. Click on the “Apply now” icon
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the following: Ensure you have all necessary documents available when starting the application process. You can review the additional job description section on postings for documents that may be required. You
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to scientific journals and funding agencies; (5) working closely and communicating with the team of clinical expert physicians for image interpretation; (6) advanced image post-processing for clinical and
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of senior lab staff. This includes setting up the animals within the experimental apparatus, all aspects of imaging and computerized data acquisition. Analyze and process experimental data obtained. Trouble