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and systems and the loss of tritium. Moreover, permeation of any hydrogen isotope is accompanied by an uptake of hydrogen in the material, leading to degradation of its mechanical properties. This PhD
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second) in maths, physics, computer science, electrical and electronic engineering, mechanical engineering or social science disciplines looking for a challenging research project in an interdisciplinary
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Programme: Hybrid CFD and process simulation for process intensification of post-combustion CO2 capture School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof
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and culture within it. Who we are looking for We are looking for an enthusiastic, self-motivated candidate, with a 1st or high 2:1 degree in computer science or mechanical engineering. The candidate
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schemes prioritised over others? What mechanisms exist to evaluate whether schemes are successful (or not)? What lessons can be learned from existing schemes locally and elsewhere to improve outcomes
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uncover cellular mechanisms of neurovascular dysfunction in Alzheimer’s disease and identify potential therapeutic targets. The successful candidate will be part of a collaborative team researching myelin
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or international students) fully funded. Competitive Tax-free annual stipend for 3 years. Requirements The candidate should have a 1st class degree (BEng or MEng/MSc) in electrical/mechanical
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have a 1st class degree (BEng or MEng/MSc) in electrical/mechanical engineering. Expertise in numerical tools (Ansys, JMAG, .etc) and programming are desirable. Experience in electrical machine
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the power of AI/ML and software-defined networking (SDN), and distributed learning methodologies, the research will focus on creating self-configuring, self-optimizing, and self-healing mechanisms for real
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electronics, embedded programming, signal processing, vibration measurement and analysis, maintenance engineering, and electro-mechanical engineering. Funding This is a self-funded PhD. Find out more about fees