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and functional analysis of the Ryanodine Receptor (RyR). The selected candidate will bring advanced expertise in biochemical & molecular biology, fluorescence spectroscopy, and confocal imaging
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: developing and applying image analysis and sensor technologies (e.g. RGB/NIR) for textile production, as well as using machine learning for process optimisation and performance prediction from fibre
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biostatistical analysis. Process imaging data to perform blood flow analysis. Maintain Aortic Center database. Discuss the results with the PI and other lab members. Attend/present at seminars and conferences, and
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models (LLMs), medical image analysis, digital oncology, and multi-omics data integration. The successful candidate will establish an independent, well-funded research program, contribute to exceptional
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as an image analyst with the following responsibilities: Analyze cross-sectional imaging using sophisticated software for multidimensional image analysis Understand and utilize tumor response
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candidate will support the delivery of the 2-year MSc in Diagnostic Radiography and MSc Radiation Therapy programmes and teach and coordinate elements of the postgraduate MSc in Medical Imaging and Radiation
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(e.g., tensor or multi-modality data). Work with other researchers and PhDs to develop AI applications related to image processing, computational imaging as well as computer vision. Lead a team of junior
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only PI instrument: the Mercury Imaging X-ray Spectrometer (MIXS) (Emma Bunce PI). This post is one of three positions now available via STFC Large Grant funding to the “Planet Mercury: Origins
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scientific expertise to active and passive microwave remote-sensing missions, i.e. radar altimeters and imaging microwave radiometers, and potentially imaging SAR; establishing and managing mission objectives
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imaging, physiological measurement, machine learning, and high-performance computational modelling. You will work with cardiology, cardiac electrophysiology, imaging, and biomedical engineering teams