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expectation to contribute to scientific publications and demonstrations. Support will be provided by senior colleagues in the Digital Manufacturing Laboratory. You will have completed a First degree in Computer
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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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will primarily support the Head of School (Professor George Panoutsos, Chair in Computational Intelligence) and his research activities in the area of Machine Learning (ML) for Engineering, focusing
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criteria in the application statement when you apply. Essential criteria Current student or graduate in Computer Science, Software Engineering or a related discipline (assessed at: application/interview
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/MSc or equivalent in Computer Science or Software Engineering (assessed at: application/interview). A track record in software testing, testing for autonomous systems, or autonomous driving system
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/MSc or equivalent in Computer Science or Software Engineering (assessed at: application/interview). A track record in software testing, testing for autonomous systems, or autonomous driving system
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programme. This is an exceptional opportunity to gain experience in medical device innovation, translational research, and clinical validation. The ideal candidate will have a background in biomedical or
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of the research programme as discussed with the fellowship supervisor. Contribute to research group planning. Coordinate and liaise with other members of the research group over work progress. Supervise research
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subject knowledge of Health Psychology is essential. The post-holder will have excellent organisational and communicative skills. The post-holder will support the research programme of Dr Rebecca Webster
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homeostasis in the brain with a particular focus on oxygen regulation. Since neuronal computation is tightly coupled with oxygen availability, Isabel is interested in how metabolic mechanisms fail as people age