525 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"L2CM" PhD positions in United Kingdom
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gravitational effects on entangled photons for shining light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning, quantum computing
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Angeloudis Assistant Supervisor: Professor Lindsay Beevers Eligibility Minimum entry qualification: An Honours degree at 2:1 or above (or International equivalent) in Engineering, Oceanography, Computational
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degree or international equivalent in a subject relevant to the proposed PhD project (e.g. Geoscience, Civil Engineering, Physics, or Computational Science). Enthusiasm for research, the ability to think
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Computing & Digital Technology Please complete the Doctoral Project Applicant Form , and include your CV and a covering letter to demonstrate how your skills and experience map to the aims and objectives
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for Doctoral Training in Engineering Solutions for Antimicrobial Resistance. Further details about the CDT and programme can be found at AMR CDT webiste Applications should be submitted by 12th January 2026.
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for Doctoral Training in Engineering Solutions for Antimicrobial Resistance. Further details about the CDT and programme can be found at AMR CDT webiste Applications should be submitted by 12th January 2026.
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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
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mathematics, physics, or electronics and telecommunications engineering. Experience in any of the following areas is advantageous: computational electromagnetics, partial differential equations, boundary
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theoretical work. As part of the program, you will complete a six-month placement at the Jungbunzlauer site in Germany, where you will: Collaborate with experienced industrial scientists and process engineers
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necessarily require formal education in geotechnics. Applicants with a background in mechanical/materials engineering or alternatively mathematics/computer science with an interest in numerical modelling