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Field
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evaluation of the feasibility and acceptability of a novel remote monitoring model in rheumatoid arthritis outpatient services across south-east London. KIS is a KHP-supported research programme aimed
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pipelines Expertise in multi-omics data integration and statistical modelling Teaching and mentorship experience Excellent interpersonal and communication skills across wet-lab, computational and facility
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. You will also be responsible for implementing the model as a computer simulation and analysing it within a health-economics framework using standard computational techniques. You will also be
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of Computer Science Full Time / Part Time Full Time Position Title: Research Assistant / Research Fellow – 15753-1 College/Department: College of Engineering, Design and Physical Sciences/Department of Computer
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performance computing systems in a way that is suitable for operational use. Implement and test different ML architectures, such as convolutional and encoders-decoder ANNs for predicting flooding in Bihar and
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of fungal pathogens. The successful candidate will make extensive use of a range of in vivo models of fungal infection and will have access to the wide range of transgenic tools and in vivo immunology
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of fungal pathogens. The successful candidate will make extensive use of a range of in vivo models of fungal infection and will have access to the wide range of transgenic tools and in vivo immunology
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This research project aims to establish the theoretical and algorithmic foundations of quantum adversarial machine learning, an emerging field at the intersection of quantum computing and machine learning. It
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individually, make a real difference. The role An exciting opportunity for a postdoctoral Research Fellow with a background in mathematical modelling / epidemiology has become available in the Faculty of Health
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in phonon calculations Experience of the VASP Code Experience of kinetic Monte Carlo Experience of Grain Boundary Modelling Experience of working with High-Performance Computing platforms Experience