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18th October 2026 Languages English English English The Department of Physics has a vacancy for a PhD Candidate in AI-assisted medical imaging with MRI Apply for this job See advertisement Are you
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. The project is an interdisciplinary collaboration between the MRI Physics Group and the X-ray Physics Group at the Department of Physics. In the MRI Physics Group, we aim to improve image quality in medical
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of breast cancer patients (the largest of their kind; making extensive use of imaging mass cytometry and spatial transcriptomics) that span observational studies and clinical trials. We must precisely define
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deep learning, computer vision, medical image analysis or unsupervised learning is an advantage. English language skills, both written and spoken Qualification requirements PhD stipends are allocated
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. The research combines robotics, computer vision, artificial intelligence, machine learning, control systems, and medical robotics to solve one of the most challenging problems in modern automation. Project
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testing and assessment of device-assisted aerosol delivery under clinically relevant operating conditions. Data processing, image analysis, uncertainty assessment and experimental interpretation using
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Are you passionate about advancing medical imaging and improving cardiovascular care? Join us in developing a revolutionary multi-aperture ultrasound platform that enables comprehensive 3D imaging
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
how can we extract it reliably? The Institute for Biological and Medical Imaging (IBMI) is looking for a curious and persistent PhD candidate (f/m/x) who wants to discover new biological and medical
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Primary Supervisor: Dr. Dennis Fitzpatrick Cardiovascular disease remains a major global health challenge and continues to drive innovation in medical technology. Cardiovascular devices form
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. The project will use quantitative mitochondrial-tracing approaches, including a recently established HiBiT-based platform, live-cell imaging, CRISPR-engineered cancer models and tumour–stromal co-culture