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Are you a creative postdoctoral-scientist keen to explore novel in-situ biology with cryogenic electron tomography? Do you have a background in imaging technologies and/or image processing? We
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/or image processing? We are looking for a correlative imaging scientist to develop, innovate, and support in-situ structural biology workflows working across the Cheney Biomedical Accelerator and
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and toolsets for engineering measurements relevant to clinical settings. The project will be supervised by experts in DIC (Hari Arora), surgery (Iain Whitaker) and wider biomaterials imaging research
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at the bottom of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Please note that this is a PhD level
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. Experience or skills for system automation. Experience or skills for experimental data/image acquisition and processing in relevant coding languages (e.g. Matlab / Python) Experience of or willingness to work
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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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About us: We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
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Annual tax-free stipend of £22,780/year for 4 years, full coverage of tuition fees for UK/Home Students, plus training/travel funds Placed On: We invite applications for a fully funded PhD research
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. We study the fundamental molecular, cellular, and physiological processes that underly normal and abnormal cardiovascular and metabolic function and drive the translation of this strong basic science
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of the recruitment process. Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will