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Field
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Full-time, 2 years fixed term Research opportunity in the field of breast cancer detection, clinical medical imaging optimisation, perception, and artificial intelligence applications in healthcare
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medical imaging optimisation, perception, and artificial intelligence applications in healthcare Contribute to high impact scientific and clinical projects in a rapidly growing research field and further
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Postdoctoral Fellow in Medical Image Segmentation and Multiphysics Modeling for MR-Guided Brain Hyperthermia - Radiation Oncology - (260000UP) Position Summary The Department of Radiation Oncology
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high-frequency ultrasound imaging platform, including hardware-software integration and advanced signal processing algorithms for structural and functional imaging, in order to deliver clinically
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the Principal Investigator (PI) on one or more research projects. He/she will be required to contribute the followings: • To construct, analyze the medical imaging data, and define the data analytical tasks
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Fellow to conduct cutting-edge research in high-resolution electromagnetic imaging and intelligent sensing. The successful candidate will contribute to the theoretical development, algorithm design, and
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Description The Department of Radiology at Weill Cornell Medicine is now accepting applications for the Cornell NYC AI for Medical Imaging (AI4MI) Fellowship. Applications submitted by March 15
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• PhD degree in materials, chemistry, chemical engineering, physics, environmental engineering, or any other related fields. • Expertise in optical imaging and nanocatalysis • Published in
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Posting Details Position Details Title Postdoctoral Fellow in Bio-Photonics and optical imaging Appointment Status Non-Tenure Track Department IU Bloomington Intelligent Systems Engineering Location
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | about 15 hours ago
emerging medical technology domains: interventional and autonomous systems, extended reality technologies, and novel imaging validation and evaluation methodologies. This integrated project aims to develop