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patients with aortic stenosis pre- and post-surgery. The post-holder will have a background in engineering, computing and / or image data analysis or equivalent and will be based in Leeds to support advanced
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You will contribute to a programme of research, funded by the Horne Family Charitable Trust, which aims to increase the evidence base on Domestic Violence and Abuse (DVA) experiences of people with
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the ESRC Smart Data Research UK programme (https://www.sdruk.ukri.org/ ). HASP enables high quality, novel and robust research utilising Smart Data. In collaboration with data and delivery partners, it
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interviews. Joining a well-supported interdisciplinary team of ten Centre researchers working on an exciting programme of high-profile research related to policing vulnerabilities, you will play a crucial role
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through understanding and using the solid Earth, including as part of the University’s Climate Plan. You will research, use and build on existing methods to take data about the subsurface (seismic surveys
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is aimed at technical innovations in computer vision and computer graphics (segmentation, registration, tracking and visualisation) to enable real-time interaction for surgical planning and decision
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Would you like to be a part of an exciting project to improve circular manufacturing? Do you have a background in robotics? Are you inspired by utilising robotic systems to drive sustainability? As a key member of the Real Robotics Lab, you will lead the development of innovative robotic...
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Grade 7 (£41,064 – £48,822 p.a. depending on experience) This role will be based on the university campus, with scope for it to be undertaken in a hybrid manner. We are also open to discussing flexible working arrangements. Are you an experienced and ambitious researcher looking for your next...
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microscopy (both sample preparation and image acquisition). You should also have strong laboratory and computational skills, and an interest in learning new techniques. Salary Requirements of the Skilled
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can support both health and mobility outcomes. The successful candidate would be responsible for the more technical parts of this project, leading the computational modelling of charging infrastructure