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England. Attracting and retaining high-calibre people is fundamental to our continued success. Salary Research Assistant: £33,002 to £34,610 per annum. Research Associate: £35,608 to £46,049 per annum
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PhD: Systematic Exploration of Robot Behaviours for Manufacturing Tasks to Automatically Discover Failure Scenarios EPSRC Centre for Doctoral Training in Machining, Assembly, and Digital Engineering
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England. Attracting and retaining high-calibre people is fundamental to our continued success. Salary Research Assistant: £33,002 - £33,951. Research Associate: £35,608 - £46,049. The Role This is an
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England. Attracting and retaining high-calibre people is fundamental to our continued success. Salary Research Assistant £32,546 - £33,482 per annum. Research Associate £35,116 - £45,413 per annum. The Role
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PhD studentship to investigate how Generation Z are reshaping consumer culture through their renewed engagement with tangible media and artefacts. Often assumed to be “digital natives,” Gen-Z
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the double ellipsoidal model, to represent energy input. While effective in reproducing the temperature field for analysing residual stresses and distortions after experimental calibration, these models
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Announcing 10 PhD Studentships within the Royal Holloway Social Purpose Centre for Doctoral Training
Partnerships and Doctoral Landscape Awards (AHRC DLA, AHRC Techne, ESRC SEDarc, BBSRC LIDo, NERC Aries, NERC TREES) as well as Centres for Doctoral Training (UKRI AI and Digital Inclusion, EPSRC Cybersecurity
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participation and transparency. As digital technologies become increasingly central to the delivery of these services, ensuring their security and resilience is more vital than ever. From digital identity and
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to the development of digital twin technologies for sCO2 power generation systems. The Centre for Propulsion and Thermal Power Engineering has a key focus and a proven track record on gas turbine performance, gas path
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Deadline: 30 September 2025 A fully funded 3.5 year PhD position is available to work on the project titled “Scalable benchmarking for digital quantum computers based on blind testing