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. Apply:https://informatics.ed.ac.uk/study-with-us/our-degrees/postgraduate-research-and-cdts/phd-3d-computer-vision-medical-imaging
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privacy constraints, robust solutions are essential. This PhD project will develop methods for building reliable medical imaging models that generalize across distribution shifts without retraining
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advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities such as CT, MRI, X-ray, and ultrasound. Research areas include image segmentation, detection
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for applicants with a degree in Computer Science, Mathematics, Physics, or Engineering. Prior experience in AI is necessary. Prior experience in tomographic imaging and medical physics would be advantageous but
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team includes a medical PhD student with pathology expertise who performs surgical specimen collection, tissue slicing, micro-CT scans, histological processing, and initial registration. The postdoc will
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» Cancer research Medical sciences » Epidemiology Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 11 May 2026 - 12:00 (Europe/Athens) Country Cyprus Type of
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of new physicians. Assists radiologists and PhD's in developing new protocols and imaging techniques that are unique to facility. Participates in research initiatives and development of research protocols
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multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 9 hours ago
required. A minimum of two years of medical imaging clinical experience. Current active membership in related professional associations required. Service as a faculty member for a JRCERT accredited imaging
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) learning numerical methods for wave-equation-based processing, imaging, and inversion. Wave phenomena are ubiquitous in science, and they extend to objectives ranging from global Earth discovery, to natural