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of cancer treatment for patients as well as reducing workload for clinicians. Collaborate with experts in AI, data science, and medical imaging to develop integrated solutions. Engage in translational
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the field of optics and photonics. The team is working in the Photonic axis and is developing novel optical imaging techniques for biology. In particular, Pierre Bon is developing novel label imaging
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accessible through optical imaging. In this context, the team is developing a groundbreaking cellular-resolution imaging technology, the AO-RSO (Adaptive Optics Rolling-Slit Ophthalmoscope). This system
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" "Machine-learning-based imaging processing" webpage For further details or alternative opportunities, please contact: haoran.ren@monash.edu.
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process please contact Engineering Postgraduate Research Admissions admissions-engpgr@bristol.ac.uk
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physics, materials science, computer science or a related discipline background in one or more of the following areas is desired: X-ray or electron imaging techniques, and image processing proficiency 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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Bachelors Honours degree (or equivalent) in an appropriate discipline. Ideal candidate will have some prior knowledge in deep learning and computer graphics. Subject Area Medical imaging, biomedical
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on five continents. The Czech Science Foundation funded PhD project will image the lithospheric structure of the Central Asian Orogenic Belt (CAOB) in the frame of the international project entitled
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the imaging system for generating image datasets from agricultural machines Develop and implement computer vision algorithms for plant disease detection and health estimation in soybeans Design and