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experience of high dimensional data analysis, including the ability to independently program in the R computing language. Please note that if you are successful in the role, you will require pre-placement
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a whole. You will be part of the Research Delivery Community in Professional Services, Faculty of Medical Sciences. The purpose of this role is to provide a comprehensive administrative support to a
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the Safety and Surveillance Group and the wider Agency. The successful candidate will have: A PhD in Computer Science, Statistics, Machine Learning, Data Science or a similar quantitative discipline or
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Mathematics to join the School of Computing and Mathematical Sciences at the University of Leicester. This exciting opportunity is part of the UK-funded ARIA AdvanTIP project, led by the University of Exeter
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Two fully-funded 3-year PhD studentships are available in Neuromorphic and Bio-inspired computing at the interface between control engineering, electrical engineering, computational neuroscience
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technologies. Applicants must have a PhD degree (or have submitted a PhD thesis) in Electrical, Electronic, computer engineering, Computer science or a related healthcare discipline, have excellent knowledge and
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proposals. Have a PhD in biostatistics or related subject with a numerate or computational component (including machine learning, data science, mathematics or a computational science), or a postgraduate
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. Our researchers have expertise across MRI & precision imaging – from mathematics and computer science to physics and medicine. Patient and Public involvement is key to all our research including
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synthesis methods Significant experience of conducting single technology or multiple technology appraisals, and/or early value or late stage assessments for NICE for either the TAR or the EAG programme
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: Essential criteria MSc. in Neuroscience, Physics, Computer Science, or a related field Strong background in computational neuroscience and data analysis Proficiency in programming (e.g., Python, MATLAB, and