107 parallel-computing-numerical-methods positions at University of London in United Kingdom
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and Immigration website . Full-Time, Fixed-Term (24 months) Applications are invited for the post of a Knowledge Transfer Partnership (KTP) Associate in the Department of Computer Science. The project
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to projects involving designing, conducting, and disseminating health economic studies using prospective research study or routine data, decision analytic modelling, health outcome assessment methods and other
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-holder will lead a strategy for epidemiology research supporting outbreak response for UK-PHRST, manage new and innovative research projects and provide research expertise across the programme. They will
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academia. The programme aims to train GP Fellows in health data science, research methods, and the clinical effectiveness approach, to develop them into future leaders delivering clinical improvements in
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matter and combine theoretical and numerical modelling with scientific software development to build a new framework for describing superfluid neutron star interiors. For this project, the post holder will
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for Knowledge and understanding of the region and higher education. Extensive awareness of the activities of the organisation and competitor business schools. Excellent numerical skills with the ability
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Security Agency (UKHSA) and LSHTM. We are looking for a social sciences researcher with expertise in conducting qualitative and mixed methods research/evaluations and a good knowledge of the UK vaccination
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Research Council’s (AHRC) Bridging Responsibilities AI Divides (BRAID) programme that will explore new technologies, new business models and new approaches to data provenance in pursuit of an equitable
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clinicians, managers, and policymakers. Our work brings together a wide range of methods, including quantitative evaluation, policy analysis and qualitative studies, and teams from a wide range of disciplines
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Array Observatory. The Astronomy Group specifically focuses on applying advanced Artificial Intelligence (AI) methods to astrophysical research. As a result, we actively collaborate with experts in