532 quantum-engineering "https:" "https:" "https:" "U.S" PhD positions in United Kingdom
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solutions for the UK agri-food sector. This interdisciplinary project sits at the intersection of bioengineering, heat and mass transfer, predictive modelling, postharvest systems engineering and applied
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Applications are invited for an ESRC-funded North West Social Sciences Doctoral Training Partnership (NWSSDTP) PhD studentship (with potential to apply for 1+3 award) at the University of Central Lancashire. The studentship is for up to 3.5 years full time (tuition fees and annual stipend at the...
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PhD studentship: Engineering Bioinstructive Materials to Guide Immune–Bone Regeneration Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate
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PhD in MEM-3D: Membrane Engineering with 3D Printing for Advanced CO₂ Separations Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate
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) are widely used in industries such as automotive and electrical engineering. During service, these materials are frequently exposed to harsh environments involving elevated temperatures, oxygen, and moisture
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drives, advanced control techniques for next-generation drives, and innovative approaches to reducing passive components in electric drive systems. Your research will contribute to cutting-edge technology
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for the UK agri-food sector. This interdisciplinary project sits at the intersection of bioengineering, heat and mass transfer, predictive modelling, postharvest systems engineering and applied microbiology
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Supervisors: Dr Negar Gilani and Professor Richard Hague The Centre for Additive Manufacturing (CfAM) Research Group within the Faculty of Engineering at the University of Nottingham, recognised as
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Looking backwards to go forwards: Systems Engineering Approaches for Inverse Design of Manufacturing Systems Supervised by Rundong Yan, Alistair Speidel, and Rasa Remenyte-Prescott This exciting
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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