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& Neuroscience (IoPPN) and is comprised of four departments and five centres across the Denmark Hill and Guy’s Campus. We are UK’s second largest Neuroscience school with over 500 researchers and 150 PhD students
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Key Information Salary: Dependent on relevant Postdoctoral experience. Future progression is based on annual performance review. If the candidate has not yet been awarded their PhD, the starting
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efficiency and environmental sustainability. Your scientific research will focus on the development of machine/deep learning-based medical image analysis methods for computerised tomography scans (CT scans
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clinical trial related activities, including patient recruitment, supervision of imaging and all patient hospital attendances 2. with necessary training, processing brain imaging data from all participating
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. You will carry out development of magnetic resonance spectroscopic imaging (MRSI) using a parallel transmit-enabled ultra-high field (7T) MRI. Specifically, you will develop and validate novel
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at the synaptic, neuronal, circuit and behavioural level using genetically modified mice. Experimental approaches will include the collection and analysis of longitudinal brain magnetic resonance imaging data in
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and tissues. Approaches will be both as single therapies and in combination with chemotherapies. Radionuclide imaging studies alongside the above data will be used to inform dosimetry. This post will
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of Healthcare Engineering and the School of Biomedical Engineering and Imaging Sciences at King’s College London. We bring together leading academics within medicine, engineering and medical physics, along with
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at Barts and The London Medical School, Queen Mary University of London (QMUL). The appointed person will undertake research investigations under the supervision of Professor Marelli-Berg and provide
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skills and experience: Essential criteria BSc (2:1 or above) in Physics or other relevant field - (Grade 5) PhD awarded or near completion in radiobiology, computational modelling, medical physics or other