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, we are looking for, (working with and co-supervising two PhD students) will closely collaborate with current Quantitative Computational Imaging (QCI) group at WUT skilled in numerical and experimental
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to computer vision, particularly in the context of medical imaging. Some clinical experience is desirable, including interaction with patients. This is a full-time post, and you will be offered a fixed term
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intraoperative X-ray-based measurements in orthopedic surgery. Your tasks will include establishing a pipeline for generating synthetic fluoroscopic images, conducting a thorough review of cutting-edge techniques
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
at the Biomedical Research Imaging Center (BRIC) in the Department of Radiolog at The University of North Carolina at Chapel Hill under the direction of Yueh Z. Lee, MD/PhD. The Center has a well established small
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imaging, electrocardiogram (ECG) and electronic health record (EHR) data to improve diagnosis, management and outcomes of heart failure. About You You will have either a PhD in the relevant subject (e.g. in
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. Collaborate on multidisciplinary projects involving high-throughput phenotyping platforms. Apply machine learning and deep learning techniques to improve image processing and trait prediction. Analyze large
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consortium that develops methods of applied mathematics and physics for the benefit of society, including medical imaging, industrial process monitoring, non-destructive structural testing and satellite data
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Mechanics Lab. - Opportunity to supervise and mentor MSc and PhD students. - Competitive salary and employment conditions. Application procedure: Please email a single PDF consisting of: - Curriculum vitae
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this role you will: Work closely with a team of project academics, engineers, and PhD students, Develop and characterise novel robotic vision representations, algorithms and/or imaging technologies
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curiosity-driven Desirable but not required/ Nice to have Experience in super-resolution imaging, optics, and a basic knowledge of computational biology Education and training You hold a Phd in biology