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analysis for Building Discovery for the locations to be cutover, test plan development, and the creation of test scripts tailored to complex university environments. Working with Network engineers, Third
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coordination capabilities essential for operations in complex urban environments. With advancements in 5G mobile networks, Artificial Intelligence (AI)-driven navigation, Internet of Things (IoT) connectivity
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Start Date: Between 1 August 2026 and 1 July 2027 Introduction: This PhD is aligned with an exciting new multi-centre research programme on parallel mesh generation for advancing cutting-edge high
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modelling framework to predict key thermal hydraulic parameters for boiling flows within complex geometries at high heat flux conditions, relevant to the engineering design of thermal management elements
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/OT Integration, SCADA systems, Industrial Communications, DevOps, ERP, MES, MBSE, Cyber Security, Digital Twin Technologies, Systems Integration, machine Learning/Artificial Intelligence Network
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record of running a large and complex organisation, operating and leading at Board level, and your extensive successful senior leadership of complex networks in government, the NHS, life sciences industry
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running a large and complex organisation, operating and leading at Board level, and your extensive successful senior leadership of complex networks in government, the NHS, life sciences industry, social
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aims to develop a high-fidelity modelling framework to predict key thermal hydraulic parameters for boiling flows within complex geometries at high heat flux conditions, relevant to the engineering
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conditions and network types. Visualising complex neural data: You will create sophisticated visualisations of high-dimensional neural network data and perturbation responses, translating complex computational
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solution focussed approach adapting to changing priorities and timescales with the ability to interpret and effectively communicate complex guidelines. Staff Benefits You may be eligible to choose from a