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of the position is to pursue cutting-edge research in automata theory, and possibly at the interface with algorithms (fine-grained complexity). We will consider applications for employment on a part-time or other
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. Experience of the development, validation, analysis and reporting of complex decision analytic cost effectiveness simulation models. Experience of the application of advanced value of information analysis
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imaging and immunological datasets Ability to communicate complex information clearly Fluency in relevant models, techniques or methods and ability to contribute to developing new ones Ability to assess
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, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. In its research approach, the UM6P promotes transdisciplinary thinking
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Obstructive Pulmonary Disease (COPD). This position offers an exciting opportunity to contribute to impactful applied health research and influence future models of care for people living with COPD. The post
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, machine learning, mathematical modelling, or a related field, to join our research team in the Department of Applied Health Sciences. The successful candidate will work on an NIHR funded methodology project
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related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research
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. Experience of the development, validation, analysis and reporting of complex decision analytic cost effectiveness simulation models. Experience of the application of advanced value of information analysis
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a state-of-the-art Earth system models(UKESM). We are looking for someone experienced in analysing output from large, complex climate models or Earth system datasets, and who is experienced in or keen
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experience in data-knowledge fusion-driven dynamic modeling of complex structures, specializing in uncertainty quantification of nonlinear systems and intelligent model order reduction methods, with at least