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an established research programme and/or specific research project. The role will be based in the Birmingham Photoacoustic Group in the Department of Cardiovascular Sciences. The Birmingham Photoacoustic Group
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well as collaborative research in the field of medical imaging. Specific research foci include the development of ultrahigh field MRI methods in terms of both acquisition parameters and processing, including software
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profile PhD in Computer Science, Data Science, Machine Learning, or a related discipline. Proven experience in computer vision (e.g. image processing, deep learning, object detection, segmentation) and
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Job Description A 9 month postdoc position is available at the Center for Fast Ultrasound Imaging (CFU), Department of Health Technology from December 1, 2025 sponsored by the European Research
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the EU Research Framework Programme? Horizon Europe Reference Number 2026-R0023 Is the Job related to staff position within a Research Infrastructure? No Offer Description - work environment: The recruited
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/video segmentation, object tracking, reinforcement learning. Deep learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation
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computed tomography (CT) reconstruction, including sparse-view and limited-angle algorithms, and the application of advanced machine learning (ML) and computational imaging methods to scientific and
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pursuing post-primary certification. Duties and Responsibilities of this Level Perform specialized tasks associated with the operation of imaging equipment and related devices in accordance with prescribed
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Full-time: 35 hours per week Fixed-term: 13 months The opportunity: Conduct original research on neuronal networks underlying the processing of natural visual stimuli, using in vivo large-scale two
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, specifically in Computer Vision Proficiency in python and deep learning libraries (pytorch, Tensorflow) Preferred Qualifications: Experience in Medical Imaging (ideally in Ophthalmology) Track record