106 Engineering "The University of Southampton" PhD positions in Ireland-United-Kingdom
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tank. If you wish to discuss any details of the project informally, please contact Prof. Ali Elham, [email protected] , +44 (0) 238059 6044. At the University of Southampton, we value diversity and
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will build upon the successful electrospray thruster development completed at the University of Southampton, developing one of the highest thrust electrospray thrusters in the world. For further
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of Chemistry at the University of Southampton. The School has recently benefitted from major investments in facilities, and has new and upgraded laboratory equipment fitted with modern, high-tech display systems
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Skylaris at the University of Southampton with co-supervision from the Johnson Matthey industrial supervisor. For enquiries, please contact Professor Skylaris ( [email protected] ). This project is
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Vibration (ISVR) and benefit from having access to the cutting-edge experimental facilities at the University of Southampton and the high-speed computational resources. You will be involved in
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information please visit PhD Scholarships | Doctoral College | University of Southampton Funding will be awarded on a rolling basis, so apply early for the best opportunity to be considered. How To Apply
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students, including Bursaries and Scholarships. For more information please visit PhD Scholarships | Doctoral College | University of Southampton Funding will be awarded on a rolling basis, so apply early
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mechanisms, while at the macro scale, the engineering issue is to develop an efficient system for integrating these metamaterials with several engineering applications. Metamaterials derive their properties
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Kerridge-Johns ([email protected] ) at the University of Southampton with support and co-supervision by NKT Photonics (Dr Adam Devine). It will research coherent beam combination (CBC
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University Guide 2022) within the University of Southampton which is ranked in the top 1% of universities worldwide. The successful candidate must have a strong background in machine learning. Prior knowledge