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treatment and reducing brain injuries Modern MRI scans tell us about a tumour’s biology. Through advanced computing (radiomics), it is possible to extract much more information from MRI images than is visible
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-world conditions to verify system operation against targets and demonstrate the reliability of the technology for use in backup power, grid stabilisation, and renewable energy integration applications
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and motivate others to do the same Multi modal live imaging and mammalian cell biology Hands-on experience in imaging Strong understanding of image analysis Desirable Experience with relevant software
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Applications are invited for the role of Clinical Research Fellow in Imaging and Brain Cancer, based in the Magnetic Resonance and Precision Imaging (MR&PI) Theme of the Nottingham NIHR Biomedical
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, alignment, and characterisation of laser-based instrumentation. • Strong experience with computer programming, both for signal processing and experimental hardware control (e.g., C, C++, Python, MATLAB
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institutions, and leading industry partners. The successful candidate will contribute to the delivery of high-impact research projects involving AI algorithm evaluation and image data analysis. You will play a
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or bioinformatics and a keen interest in cancer biology. Extensive and demonstrated experience in scRNA-seq, spatial transcriptomics, with image analysis experience an advantage. A proven publication
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position that can be applied across a broad range of industrial sectors, bringing the benefits of passive linear optical superresolution to the domain of in-process control for additive manufacturing
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full potential. Working together Working collaboratively with others in order to achieve objectives. Recognising and valuing the different contributions people bring to this process. Achieving Results
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. The Nightingale Centre houses the largest breast cancer unit in the UK and the first and largest Family History Risk and Prevention Centre. It is also home to The National Breast Imaging Academy. A large primary