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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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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
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of prototype quantum sensor systems in collaboration with our academic and industry partners, engineering colleagues, and a range of end users. Collaboration with experimentalists, medical physicists
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where appropriate. You will also contribute to other complementary research in the lab group. Essential selection criteria Have a PhD/DPhil in Biochemistry, in Molecular or Cellular Biology or