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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
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Primary Purpose: To provide technical leadership and expertise in the operation and maintenance of the WCVM Imaging Centre’s Transmission Electron Microscope (TEM) and Scanning Electron Microscope
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. For more details on what we do, do visit https://medicine.nus.edu.sg/circ/ . The mission of CIRC is to provide a shared state-of-the-art national resource for translational molecular imaging research
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documentation and reporting of imaging studies and procedures to support continuity of care and billing requirements. Collaborate with multidisciplinary teams including breast surgery, medical oncology, radiation
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A Postdoctoral Fellow position is available in Prof. Tong Ling’s Lab (https://www.tonglinglab.com ) at Nanyang Technological University, Singapore. The successful candidate will work with our
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of patients, staff, and themselves. Serving as a liaison between the patient and physician, this role guides patients through the imaging process, provides education and reassurance, and facilitates effective
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 8 minutes ago
to misapprehensions about the outer planets and moons. In addition, many images were never processed in to full color and remain monochromatic. Digital image processing has now advanced significantly, permitting new
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Job Description Apply now Req Id: 38998 Job Title: EAPS Assistant Professor City: West Lafayette Job Description: Job Summary The Department of Earth, Atmospheric, and Planetary Sciences (https
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diagnostic imaging, and provides perdiem radiologic and ECG services as needed. The position requires strong technical skills, attention to regulatory standards, and effective communication with campus
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multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities