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of tumour removed by surgery. It can take up to four weeks to get a final diagnosis, making it hard for doctors to make treatment decisions and causing uncertainty and anxiety for patients and families. We
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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and offering training opportunities for specialist clinicians and clinical scientists. The LifeArc and MDUK-funded Translational Rare Disease Centre to Treat Mitochondrial Diseases (LAC-TreatMito-UK
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; experience of working on biological systems and/or craniofacial system; experience in image processing and material characterisation. The post is initially funded for 3 years and will be subject to standard
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translation of innovative miniature, hair-thin imaging devices we have previously developed (doi.org/10.1117/1.JBO.29.2.026002 ). These devices are designed to enable early and accurate detection of cancerous
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of imaging protocols (MRI, MRS, OPM-MEG). Candidates will benefit from a demonstrable experience in these fields. The core abilities and attributes required include resilience, creative problem-solving
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We are seeking an ambitious and highly motivated postdoctoral researcher to help develop the next generation of fibre-based optical imaging and spectroscopy tools. This EPSRC-funded role is central
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able to plan and conduct your own work independently, whilst also being able to build relationships and collaborate with others. A PhD (or near to completion) in human metabolic physiology, nutrition
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of further extension. If you need reasonable adjustments or a more accessible format to apply for this job online, or have any queries regarding the application process, please contact the Institute
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translation of innovative miniature, hair-thin imaging devices we have previously developed [https://doi.org/10.1117/1.JBO.29.2.026002]. These devices are designed to enable early and accurate detection