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focus will be on biomechanics, image processing, machine learning (ML), artificial intelligence (AI), and metrology, the student will also contribute to the co-design of cadaver experiments and data
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Applicants are invited to apply for a new vacancy at Research Associate level in Surgical Multispectral Imaging, funded by a Research and Partnership Health Technology Hub. The Optical and Acoustic
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equipment disinfection). Assists radiologist with imaging procedures, starting IV's, and injecting contrast, if applicable. Evaluate Radiologic scans for technical quality, collates processed images in
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, hydrogel-tissue engineering, data analysis, and project management. 1-2 years of experience post-PhD is preferred but not required. Scientific Background: We have recently developed the LICONN technology for
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procedures. Evaluate CT scans for technical quality, collate processed images in sequence of exposure and appropriately label. Film/transmit to Image Archival System. Schedule patients for procedures; assist
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(e.g., tensor or multi-modality data). Work with other researchers and PhDs to develop AI applications related to image processing, computational imaging as well as computer vision. Lead a team of junior
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(e.g., tensor or multi-modality data). Work with other researchers and PhDs to develop AI applications related to image processing, computational imaging as well as computer vision. Lead a team of junior
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under real-world conditions to verify system operation against targets and demonstrate the reliability of the technology for use in backup power, grid stabilisation, and renewable energy integration
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Ecole Polytechnique Federale de Lausanne, Unsteady Flow Diagnostics Laboratory Position ID: Ecole Polytechnique Federale de Lausanne -Unsteady Flow Diagnostics Laboratory -PHD [#30284] Position
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least a Bachelor’s degree in Computer Science, Electrical/Electronic/Software Engineering, or a related field. A Master’s or PhD degree in relevant areas will be advantageous. 3. Familiarity with