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environment for the pursuit of cutting-edge cardiovascular and metabolic research. We study the fundamental molecular, cellular, and physiological processes that underlie normal and abnormal cardiovascular and
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responsible for conducting the expression and purification of ATP-dependent chromatin remodelling enzymes, sample preparation for cryo-electron microscopy experiments, cryo-electron microscopy imaging and data
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. At an award level, you will develop, improve and maintain monitoring and reporting processes, and at a scheme level, you will implement monitoring, evaluation and learning approaches, including overseeing
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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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, develop and produce a prototype radio frequency-based medical device to support the care of hard-to-heal wounds. Chronic wounds, such as diabetic foot ulcers, impose a significant burden on the NHS, costing
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those with expertise in cardiac MRI acquisition. While experience in machine learning is not essential for this pathway, a strong technical understanding of imaging and post-processing is helpful. You
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the selection process. The ideal candidate will hold a PhD in biophysics, biochemistry, physical chemistry, physics, engineering, or a related area, or have submitted a PhD thesis prior to taking up
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imaging studies. As part of the UK National Total Body PET Imaging Platform (npip.org.uk), two identical Siemens Total Body PET Scanners have recently been installed at St Thomas’ to complement further PET
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the selection process. The ideal candidate will hold a PhD in biophysics, biochemistry, physical chemistry, physics, engineering, or a related area, or have submitted a PhD thesis prior to taking up
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resolution. The development of new imaging modes will also require new acquisition and computational processing techniques, and you will work closely with the theory and algorithmics project group. Ultimately