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/Qualifications Who you are You have a Professional Master’s degree or PhD in electrical/software engineering or equivalent through experience. You have 3-5 years of experience in computer vision and image
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of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD level role but
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with the following qualifications: A PhD in biomedical engineering, biomechanics, biophysics, medical imaging, or a closely related field. A solid background in MR imaging, medical image analysis, and
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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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on the development, optimization, and clinical evaluation of new x-ray-based imaging methods. The lab focuses on the use of medical physics approaches to improve image acquisition methods and processing algorithms
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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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AI design of ultrathin lenses for compact imaging devices The Faculty of Engineering at the University of Nottingham is seeking an enthusiastic, self-motivated student who enjoys working as part of
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AI design of ultrathin lenses for compact imaging devices The Faculty of Engineering at the University of Nottingham is seeking an enthusiastic, self-motivated student who enjoys working as part of
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works closely with breast screening radiologists and industry to develop new and improve existing methods and processes in screening breast imaging. Our direct connection with the Dutch Expert Centre
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behaviors, whole-brain calcium imaging using SPIM, and drug selection and administration to rescue altered behaviors. Identify and develop strategies to enhance data acquisition and processing efficiencies