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and advanced signal processing to detect cyber threats in real-time while minimizing energy consumption. Digital twins, as virtual replicas of physical systems, enable continuous monitoring and anomaly
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Aim: Develop a mathematical model for obsolescence modelling for railway signalling and telecoms Background Network Rail operates several telecom networks which provide connectivity for various
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Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience Engineering Research Group) Aim: Develop a mathematical model for obsolescence modelling for railway signalling and telecoms
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The use of Artificial Intelligence/Machine Learning methods in process optimisation and control is one of the key strategies the formulation industry has adopted to reduce resource and energy
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This is a 3.5 year PhD studentship that will focus on advancing the methods for early warning detection of tipping points in climate systems, with a strong focus on the collapse of the Subpolar Gyre in the North Atlantic ocean. An ideal candidate will have a first degree with a strong background...
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Short overview of PhD opportunity The PhD studentship aims at studying and developing more comprehensive user interfaces for computer-aided decision-making processes, which can benefit from 3D/360
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of the CDT in Process Industries: Net Zero . The successful PhD student will be co-supervised by academics from the Process Intensification Group at Newcastle University. Established in 1925, Croda is
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products ranging from kitchenware, paints, upholstery and performance textiles. Companies receiving and processing textiles have new regulations imposed by the Environment Agency, reducing PFAS limits in
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representatives to drive meaningful change for the citizens of Wakefield. We would like to support a PhD candidate to undertake research in the following areas: Evaluating and understanding the process and outcomes
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materials and energy-intensive manufacturing processes. These machines dominate current electric powertrain solutions but pose challenges in terms of resource supply chain, recyclability, and embedded carbon