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Honours degree in Physics, Engineering, Computer Science or related discipline (or equivalent) Essential Application PhD in medical image processing/analysis (or equivalent) Essential Application Experience
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the imaging procedure room, as well as transport medications from the delivery area to an authorized imaging area. The Imaging Clinical Assistant assists with procedure set up/break down, sterile field
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and reliable quantification in theragnostic studies, strengthening the translational relevance of imaging data. Close collaboration with medical physicists within the unit will support quantitative
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research group led by Dr. You Leo Li at The University of Texas at Dallas is excited to invite applications for postdoctoral scholar positions. We’re at the forefront of medical ultrasound imaging and
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research group led by Dr. You Leo Li at The University of Texas at Dallas is excited to invite applications for postdoctoral scholar positions. We’re at the forefront of medical ultrasound imaging and
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urgent inquiries regarding status and location of missing files and digital images. Researches manual and computer records to locate and retrieve requested files and digital images for physicians, parents
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2024. Collaborate with the newly established departmental Medical Imaging Research Institute (MIRI), including the Cancer Imaging and Theranostics Research Center, Research Imaging Core, and state
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-processing and analysis of cardiac imaging studies. Close collaboration with technical researchers within the cardiovascular imaging unit. Where to apply Website https://jobs.vhir.org/jobs/7511897-clinical
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Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM) | Spain | 1 day ago
in medical image processing, including segmentation, registration, and quantitative analysis of images (CT, MRI, or echocardiography), as well as the use of common scientific libraries (NumPy, SciPy
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demonstrated experience in computer vision or analysis of pathology images. The appointees will participate in a multidisciplinary collaborative research project related to development of deep learning model