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research programme is to use genetic, molecular and cellular, and imaging/image analysis approaches to understand the development and function of the vertebrate inner ear, the organ of hearing and balance
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. Please ensure that you reference the application criteria in the application statement when you apply. Essential criteria Have completed or be near to completing a PhD in a relevant discipline (ecology
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development of protocols for commercial deployment (supported by Detectronic ). There will be significant opportunities for personal development including a residential programme at Ashorne Hill to further
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science, 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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-breathing lung MRI. Image computing support for pulmonary MRI applications. Support the development of a prototype neonatal pod for lung MRI, in collaboration with industrial partner, Contribute
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a mixture of experimental and computation work. A current key focus of the group is development of new multiscale modelling approaches, coupled with data driven modelling techniques, to support
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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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report to line manager(s) on a regular basis. Work with industry partners in the programme to define the basic component requirements as well as manufacturability metrics required for viability
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at Undergraduate and Master levels. You will have a PhD in Philosophy or related subject area (or be close to completion), proven teaching ability and administrative skills. You will join a dynamic team of Academic
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Master levels. You will have a PhD in Philosophy or related subject area (or be close to completion), proven teaching ability and administrative skills. You will join a dynamic team of Academic staff in