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of Physics & Astronomy and Computer Science, joining an interdisciplinary team bridging spintronics, photonics, and materials science. During your PhD you will gain hands-on experience in: ultrafast laser
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benefits toward a net-zero future. Project specific entry requirements: The PhD should have background in Materials, Chemistry, Engineering etc. Potential PhD programme of study: PhD in Renewable Energy
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computer science, mechanical engineering, or aerospace engineering. You should have programming experience applied to physics/engineering problems and/or experience with machine learning and ML. The University
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Assistant Supervisor: Professor Vasileios Koutsos Eligibility A 2:1 undergraduate degree (or equivalent) in a relevant subject e.g. biological sciences, bioengineering, biophysics, materials science. Further
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, materials characterisation and computational simulation – highly sought after in the UK’s growing offshore energy sector. This research will directly contribute to more reliable, cost-effective and
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computer science, mechanical engineering, or aerospace engineering. You should have programming experience applied to physics/engineering problems and/or experience with machine learning and ML. The University
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using advanced materials. You will be supported by a multidisciplinary supervisory team with extensive expertise in novel materials design, data science, and the clinical management of TLS. You will
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Join an exciting research journey at the intersection of advanced materials, electronics, and textile engineering. This PhD project will explore smart structural design, manufacturing and
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(Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How to apply For information on how to apply, please click on the ‘Apply’ button
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Power and Energy, Electrical Engineering, Computer Science, or Operations Research. While this is our standard entry requirement, we also place strong value on prior experience, enthusiasm for research