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of the external grids Establish a stochastic differential algebraic equation (SDAE) based analytic framework for interdependent electromechanical and electromagnetic dynamics modelling and analysis Design data
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have no more than five years of post-qualification experience at the time of application; (b) background in optimization and data analytics; and (c) related research experience. Applicants
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of Psychological Sciences and Turner Institute for Brain and Mental Health, the position will support study coordination, data collection and management, data analysis and evaluation of a digital brain health
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, analyte binding, environmental responsiveness) to meet device requirements. This provides a unique opportunity to iteratively couple materials design with device performance. This position offers
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In this role you will support the delivery of two exciting, EPSRC-funded research programmes at the University of Nottingham, working across AI, human-computer interaction, and creative technology
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instrumentation or relevant radiogenic isotope analytical techniques. Demonstrated ability to interpret geochemical and isotope data, preferably with relevance to palaeoclimatic and paleoenvironmental
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or related approaches, together with advanced analysis of molecular simulation data, including dimensionality reduction, conformational landscape analysis and the identification of metastable states
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and real-world projects. We are seeking an experienced Research Fellow (Data Science Manager) to lead analytics and AI initiatives with industry partners, and to drive the design, development, and
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challenges. You should be able to demonstrate experience in numerical modelling of coupled thermal, hydraulic and/or mechanical processes, alongside strong scientific programming, data-handling and analytical
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non-academic experience Have proven capacity to work independently and develop a research agenda and the analytical skills or experience necessary to apply existing concepts and theories about