12 computer-science-image-processing-"Prof"-"Embry-Riddle-Aeronautical-University" positions at University of Sheffield
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to explore include mono-chromatic and multi-chromatic illumination, structured illumination, and telecentric illumination distortions. Computer based image analysis approaches will be developed, including
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job contact Prof Hassan Ghadbeigi, project lead: on h.ghadbeigi@sheffield.ac.uk or on 0114 222 7748 Next steps in the recruitment process Following the closing date, we will contact you by email to let
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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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. 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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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