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annotations are scarce or unreliable. Recently developed unsupervised learning methods allow to circumvent this limitation by learning patterns in unlabelled medical images and then leveraging them
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Funding for: UK/Home Students We invite applications for a fully funded PhD research scholarship in “Unsupervised Machine Learning for Cardiovascular Image Analysis”. This opportunity is available
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 15-Jul-25 Location: Irvine, California Type: Full-time Categories: Academic/Faculty Medical Imaging Internal Number
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care the most. Req ID : 11109 Working Title : Postdoctoral Scientist - Yang Lab - Biomedical Imaging Research Institute Department : BMS - BioMed Imaging Res Inst. Business Entity : Cedars-Sinai Medical
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in MR imaging sciences and at least 4 years of post-PhD experiance. Development experience in both MR imaging and MR spectroscopy is highly desirable. MRI research experience in an academic setting
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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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departments of Imperial College, the NHS, and our partner institutions of Cambridge and UCL. What we are looking for: You will hold a PhD in Optical Imaging/Physics, Biophotonics, Medical Imaging, Image Guided
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grasp of OOP, data structures, algorithms, and debugging tools; familiar with medical image processing (vtk and ITK), medical device communication protocol (OpenIGTLink) and open source medical imaging
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. This position offers a unique opportunity to contribute to cutting-edge research in medical imaging while actively engaging in teaching and mentoring students and trainees. The ideal candidate will possess a
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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