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Field
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, such as computer science, neuroscience, engineering, physics, applied mathematics (or be near to completion of their PhD). Skills in computer programming (especially Python or C++ or Matlab) and
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and distributed across digital platforms. The research will build on Surrey’s world-leading work in content authenticity and media provenance. You will develop new Computer Vision, AI and multimedia
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: Cardiovascular Imaging, Cancer Imaging, Early Life Imaging, Imaging Chemistry & Biology, Biomedical Computing, Surgical & Interventional Engineering, Imaging Physics & Engineering and Digital Twins for Healthcare
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of experimental data generated through immunocytochemistry, molecular biology, and imaging techniques. Where to apply Website https://pica.cineca.it/ Requirements Additional Information Eligibility criteria
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receive training in computational medical imaging, patient-specific multiphysics modeling, thermal therapy, translational research, scientific communication, and manuscript and grant preparation. The fellow
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vision, machine learning, computational imaging, surgical data science, biomedical engineering, medical image computing or a closely related discipline. They should have strong knowledge of AI, computer
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Engineering, Biomedical Engineering, Medical Imaging, Signal Processing, Applied Physics, Computer Engineering, or a closely related discipline. Strong background in at least one of the following: ultrasound
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effective? The project is aimed at technical innovations in computational physics and computer vision (sensing, camera calibration, depth estimation, tracking and visualisation) to enable real-time tissue
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About us: The Centre for Neuroimaging Sciences (CNS) at the Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King’s College London, is a world-leading research centre specialising in
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Politècnica de València: a Bachelor's degree and a Master's degree totalling at least 300 ECTS credits, of which a minimum of 60 ECTS at Master's level, preferably in computer science, applied mathematics