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. Department: Res Dept of Biomedical Computing. Contact details:Dr. Rachel Sparks. rachel.sparks@kcl.ac.uk Location: St Thomas Hospital. Category: Research. About Us We are seeking experts in medical image
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experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models
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-Performance Computing (HPC) systems are essential infrastructure for solving complex scientific and engineering challenges. However, the rapid growth of HPC alongside AI is creating an urgent sustainability
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About the Role You will develop and apply novel computational methods to quantify the societal impact of fundamental science discoveries. Candidates close to completion of their PhD will initially
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for medicine use before and during pregnancy. This postholder would work primarily on a recently funded programme of work to develop a novel approach to understanding and communicating the Safety of Medicines in
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clinicians, who explore the complex social determinants of health, illness and ageing in a global perspective. About the role We are looking to appoint an enthusiastic and highly motivated individual who will
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to the Institute for Condensed Matter and Complex Systems (ICMCS) of the University of Edinburgh. The appointed Postdoctoral Research Associate (PDRA) will utilise the laser-heated diamond anvil cell approach to
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to the regulation of complex behaviours. This will involve a range of techniques including high resolution confocal microscopy to determine receptor localisation, behavioural analysis of C. elegans and computational
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Associate in Physical Chemistry Job Description: Chameleon Dyes: Circularly Polarised Luminescent Photography and Lanthanide Complexes for Advanced Intelligent Security Applications Counterfeiting is
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Neuroscience (IoPPN). The centre aims to better understand the complex interrelationships between society and mental health, with a commitment to: Ensure that the impact of social context is central to how we