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diseases, combining biomechanical experiments, micro-Computed Tomography imaging, Digital Volume Correlation, and Nanoindentation. The position is funded as part of the project “ChildBone: A novel digital
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you want to challenge yourself in the multidisciplinary field of biomechanics, image processing and skeletal diseases? This is the PhD project for you! You will work in an exceptional multidisciplinary
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, computer vision, medical/image analysis is essential. Experience of research (or interest in) in one or more of the following: deep learning; big data management; computational pathology; medical imaging
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at the University of Sheffield in a highly multidisciplinary environment supported by Dr Hanya Mahmood (Senior Clinical Lecturer & Honorary Consultant in Oral Surgery), Prof Ali Khurram (Professor of Pathology and
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. To fill in this gap, in collaboration with industrial partners, the research will develop novel Machine Learning and Computer Vision methods for detecting and localising. These will be used to develop
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, computer vision, medical/image analysis is essential. Experience of research (or interest in) in one or more of the following: deep learning; big data management; computational pathology; medical imaging
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informatics, and energy systems, and offers the opportunity to directly contribute to the operation and design of next generation fusion facilities. This EngD project is set within the Fusion Engineering CDT
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GIF CDT: A Novel Gas/Liquid contactor for Direct Air Capture and industrial CO2 capture technologies
data, combine the data with process modelling and scale up towards a commercial design. A second application is the removal of carbon dioxide from the air, a core technology of a $3.5 billion US
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. Candidates should have knowledge of and expertise in optical calcium-imaging and related analysis. The appointee must be able to contribute significantly to the ongoing research in Prof. Marcotti’s laboratory
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supervisor/s: Prof Lenny Koh and Mohamed Pourkashanian Project partner: EIC Industrial partners CDT in Green Industrial Futures: The CDT is funded by the UK Engineering and Physical Sciences Research Council