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and toolsets for engineering measurements relevant to clinical settings. The project will be supervised by experts in DIC (Hari Arora), surgery (Iain Whitaker) and wider biomaterials imaging research
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acquisition on fresh and fixed samples. Work closely with pathologists, surgeons, and computational scientists to validate imaging technologies for diagnostic and research use. Analyze imaging data and
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of AI-based computer vision methods on optical and radiologic images. Our laboratory focuses on (1) intraoperative imaging with label-free optical microscopy and (2) neuro-imaging such as computed
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to the clinic The post holder will be based in the Department of Biomedical Computing as part of the School of Biomedical Engineering & Imaging Sciences, King’s College London, a vibrant community of engineers
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The University of Queensland (UQ) School of Electrical Engineering and Computer Science (EECS). Within EECS, you’ll find thriving teams driving innovation in Biomedical Imaging Technologies and Engineering; Optics
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this technology and create stand-alone units within washroom and cleanrooms. We will develop widefield fluorescent imaging techniques to segment contamination from instruments, with automated multi-spectral overlay
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crucial research in the advancements of imaging and machine learning. This position will also conduct translational research, which will seek to apply computer vision and artificial intelligence
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motions; intermittently standing or walking with objects weighing up to 25 pounds; and sitting at a computer workstation for extended periods of time; and occasionally working at heights above four feet and
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multilayer printed circuit boards (PCBs). It draws from disciplines including electrical and electronic engineering, embedded systems, computer vision, and cybersecurity. The ability to verify hardware without
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, operation and analysis of experiments or research projects in areas such as chemistry, biology, psychology, sociology, mathematics, statistics, computer science, physics, optometry, all fields of engineering