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monitoring and prediction/decision modelling, while supporting data collection, analysis, and dissemination throughout the project. The lecturer will also contribute 50% FTE to the delivery of UG and PGT
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Overview We have a great opportunity on a NERC-funded Pushing the Frontiers of Environmental Research project to develop complex system modelling and AI techniques to advance our understanding
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monitoring and prediction/decision modelling, while supporting data collection, analysis, and dissemination throughout the project. The lecturer will also contribute 50% FTE to the delivery of UG and PGT
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machine learning pipeline to derive governing equations and boundary conditions for macroscopic crowd models from synthetic and real-world data. Close collaboration with a dedicated PhD student, who is
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Location: Warwick Job Purpose A unique and exciting opportunity has arisen for a KTP Research Associate with expertise in mathematical modelling and fluid mechanics to lead an innovative
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computer modelling (in silico), through robot driven testing of implanted knees (in vitro), to 3-dimensional X-ray imaging of moving patients (in vivo) with Machine Learning driven analysis, to deliver a
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, cognitive, and physiological characteristics. They will provide expertise in physiological data monitoring and prediction/decision modelling, while supporting data collection, analysis, and dissemination
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visualisation projects, including the development of predictive and advanced analytics models using AI, machine learning and natural language processing (NLP), to solve the most pressing real-world problems
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) and supply chain sustainability modelling. The successful candidate will work with Prof Lenny Koh (Deputy Director of IGNITE) to deliver C3.2 (Supply chain optimisation and LCA). C3.2 will build from
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Allen and West Laboratories has uncovered an altered metabolic response to hypoxia in C9orf72 patient derived models and in Drosophila Melanogaster C9orf72 DPR models of ALS. However, the mechanisms