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, amongst other applications. However, application specific operational drawbacks can have detrimental impacts on conversion, selectivity and uniformity of product distribution, such as in solid precipitates
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economy-wide modelling. Assess the distributional impacts of network investment using macroeconomic models such as Input Output and Computable General Equilibrium. There is a unique the opportunity to gain
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Research Assistant to investigate digital reading comprehension through large-scale data analysis. This role, funded by the John Fell Fund, sits at the fascinating intersection of computational
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, nonlinear dynamical systems, robotics, and formal methods to develop principled models and algorithms for distributed decision-making in complex and uncertain environments. Your research The candidate will
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The project: The domain of High Performance Computing (HPC) effectively utilises massively multicore computers that facilitate the distribution of scientific workloads across thousands of compute
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distributions and ensure fuel operates within design limits. The aim of this project is to establish a robust, validated framework for neutronics and thermal analysis of prismatic HTGR cores, integrating Monte
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the average values of the widths and spacings between two adjacent resonances. This energy range is called the “unresolved resonance region” (URR). Current computational methods treat the resonances in the URR
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Systems. The project is sponsored by UKRI with the aim to conduct modelling, analysis and optimisation of smart power distribution grids and integrated power and transportation networks. In collaboration
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platform. Training the development digital-twin using real-time data from hardware available Electrical power level studies with developed digital twin to identify visible solutions for distribution electric
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) and Edge Computing are undergoing a major transformation. Systems that once relied heavily on cloud-based processing and passive data collection are evolving into distributed networks of intelligent