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Profile: Excellent master’s degree in Process Engineering, Chemical Engineering, Mechanical Engineering or a similar discipline Strong interest in pursuing research on electrochemical systems Experience in
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
and reasoning techniques to support predictive maintenance and asset health monitoring •Design feedback mechanisms that deliver interpretable insights (e.g. alerts, recommendations, confidence scores
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specification: • BEng/MEng in Engineering discipline with appropriate energy and data modules, particularly Chemical Engineering, Mechanical Engineering, Electrical Engineering, Energy Engineering (minimum of 2:1
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of the particle fuel, crack initiation/propagation and failure mechanisms in relation to test temperature. Finite element (FE) modelling using FE tools such as Abaqus, (or) Ansys, (or) COMSOL is optional
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proteins and mechanisms involved in flavivirus replication, infection, and pathogenesis, which could ultimately lead to new treatments for flavivirus infections. Examples of techniques you will use include
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mechanisms occurring in these materials and their synthesis over all relevant length scales (e.g., cutting-edge ab initio methods, atomistic simulation methods, multi-scale modelling, machine learning) High
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in a related discipline. This project would suit motivated graduates from a wide range of STEM backgrounds—including environmental, civil, chemical or mechanical engineering, computer science, robotics
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Mechanical, Aerospace and Civil Engineering PhD Research Project Directly Funded UK Students Prof R Dwyer-Joyce Application Deadline: 30 September 2025 Details Novel Sealing for High-Pressure H2 and Low-Carbon
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the hydrogen industry Investigation of reaction mechanisms in the field of the hydrogen economy, particularly with regard to the charging and discharging of hydrogen carriers Cooperation with partners in
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parametrize wind-wave energy flux mechanisms. The overall goal of the research project is to develop process understanding and parametrizations that lead to improved, energetically consistent, climate models