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(contributing approximately 50%), advancements in aircraft technology (30%), and operational improvements (20%) – together supporting the industry's 2050 carbon-neutral growth objectives. Broadly, this project
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to achieve, at least a 2.1 honours degree or a master’s in a relevant science or engineering related discipline. Applicants should have strong background in Machine Learning and Deep Learning. To apply, please
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government’s Advanced Modular Reactor (AMR) programme has recently identified HTGRs as the preferred design for future advanced nuclear deployment in the UK, with an aim to deliver a demonstration reactor by the
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Specified use +4 - covering a full postgraduate research programme Please note that existing postgraduate research students cannot be considered for this funding. Tenable period 4 years full-time or 8 years
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have a leading programme of research into creating synthetic mimics of IBPs, understanding their function, and deploying them in healthcare and biotechnology - for example storing cells and tissue
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subject to satisfactory progress. Number available 2 Funding provider The University of Manchester Faculty of Science and Engineering Level(s) of study This funding is available to students undertaking
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Type of award Studentship Managing department Faculty of Science and Engineering Value The University of Manchester and the Indian Institute of Science Bangalore have partnered to offer a joint
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Type of award Studentship Managing department Faculty of Science and Engineering Value The University of Manchester and the Indian Institute of Technology Kharagpur have partnered to offer a dual
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Continuation of award Continuation of the award is subject to satisfactory progress. Number available 3 Funding provider Engineering and Physical Sciences Research Council (EPSRC) Level(s) of study This funding
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Engineering and Analytical Science Civil Engineering Computer Science Electrical and Electronic Engineering Management of Projects in Engineering Mechanical Engineering Academic requirements To be considered