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Field
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20th March 2026 Languages English English English The Department of Circulation and Medical Imaging has a vacancy for a PhD Candidate in Artificial Intelligence and Medical Imaging Apply
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application! We are looking for a PhD student in biomedical engineering with a focus on deep learning for medical images Your work assignments The position focuses on developing methods for federated learning
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–2 years, total 3–4 years) on deep learning for medical imaging. This DFG-funded project focuses on developing deep learning methods for medical and scientific imaging. The Professorship for Machine
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cutting edge of medical physics, oncology, and imaging science, contributing directly to the future of pediatric care. Where to apply Website https://www.academictransfer.com/en/jobs/357579/phd-position-in
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computer vision method for medical image analysis principally in oncology or pathology, with a possible focus on generative AI, explainability, multi-modality. Candidate’s profile A good Bachelors degree
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Roentgen’s Nobel Prize-winning discovery of X-rays enabled us to non-destructively image inside the body, birthing medical diagnostic imaging and revolutionising materials characterisation
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(School of Medicine), which houses world-class infrastructure including a 3T Philips Elition intraoperative MRI suite (at Queens Medical Centre) and is part of the Sir Peter Mansfield Imaging Centre at the
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houses world-class infrastructure including a 3T Philips Elition intraoperative MRI suite (at Queens Medical Centre) and is part of the Sir Peter Mansfield Imaging Centre at the University of Nottingham
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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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with team members and colleagues. Essential qualifications: M.Sc. in Computer Science, Machine Learning, or equivalent with interest in Medical Imaging and Deep Learning. Strong knowledge in Machine/Deep