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the field of optics and photonics. The team is working in the Photonic axis and is developing novel optical imaging techniques for biology. In particular, Pierre Bon is developing novel label imaging
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order to detect microseismic events, characterise their sources, and image geophysical perturbations caused by industrial activities. The development of machine learning methods to efficiently process
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-quality images with faster acquisition time. It has advanced coil technology with a range of options that can be adapted for various anatomical regions and imaging needs and offers sophisticated imaging
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between clinics and hospital. Qualifications: Minimum Qualifications: Graduate of an approved Radiology Technology program Registered or eligible by the American Registry of Radiologic Technologists
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and TUHH access and training to state-of-the-art synthesis, characterization, and imaging infrastructure collaboration with leading experts in materials science, theory, and advanced characterization
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hold a Master’s degree in neuroscience, medicine, or a related field; a technical degree with affinity for medical imaging (such as biomedical engineering) is also suitable when supported by proven
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Intelligence? Our research group CVI2 - Computer Vision, Imaging and Machine Intelligence, headed by Prof. Djamila Aouada, is seeking a talented researcher to take on a leading role within an innovative and
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proposals; and Maintains organized records to support compliance and transparency. Required Qualifications: Bachelor’s degree in health sciences, computer/data science, social sciences, or a closely related
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of Anesthesiology at Yale University School of Medicine is recruiting full time, fellowship-trained Pediatric Cardiac Anesthesiologists to support the continuing growth of our congenital cardiac program. Our team
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Imaging Leader - Faculty Virginia Tech Virginia Tech (VT) seeks to recruit a senior or mid-career level biomedical imaging technology innovator to join the faculty at the Fralin Biomedical Research