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This 3.5-year PhD project is fully funded and home students are eligible to apply. The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£21,805 for 2026/27) and
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harness advanced techniques such as machine learning, optimization algorithms, and sensitivity analysis to automate and enhance the mode selection process. The result will be a scalable methodology that
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measure 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
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measure 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
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technologies for clays rely on high-temperature roasting followed by aggressive acid leaching, processes that are energy-intensive, generate substantial chemical waste, and produce significant carbon emissions
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11 Apr 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Computer engineering Engineering » Systems engineering Researcher Profile
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Award Summary 100% home fees covered, and minimum tax-free annual living allowance of £21,805 (2026-27 UKRI rates) Overview Modern infrastructure, from smart cities to industrial IoT (IIoT), relies
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tasks to work with, enhance or replace established methods from computational engineering and computer simulation (such as the finite element method and constitutive materials models) to represent and
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an annual tax‑free stipend of £20,780 for up to 3.5 years, together with full coverage of tuition fees. Additional funding is available for attending training events, workshops and academic conferences when
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thin films for emerging technologies. By combining state of the art physical vapor deposition, high throughput experimentation and data science, we develop thin films with enhanced performance and