59 structural-engineering-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" PhD positions at Newcastle University in United Kingdom
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water systems. Key questions will address how upstream management influences city-level water access, how governance structures shape policy outcomes, and how future climate conditions will affect
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intelligent systems that still rely on fixed rules and structured commands? For example, if asked to “pick up the red book on the shelf,” a traditional robot would need the exact location and object details
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rate). Additional project costs will also be provided. Overview How can we revolutionise intelligent systems that still rely on fixed rules and structured commands? For example, if asked to “pick up
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the basic biophysics/neuroscience issues that have been a barrier to bionic vision to date, then develop advanced methods to talk to the brain. Our aim is to utilise this technology to restore sight to those
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an efficient and mature technology, yet it requires high temperatures and has a large carbon footprint. This PhD project addresses a key challenge: efficiently producing bio-methanol from abundant
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has seen the group develop, patent and spin-out a new bioprinting technology called reactive jet impingement. The group has then integrated this bioprinting technique alongside other technologies
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, and motivated to improve workplace safety in healthcare technologies and to work across research, industry, and medical engineering. Methodology The overall aim of the project is to design and evaluate
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Compliance Engine to embed regulatory rules into the digital twin environment. Project Timeline Year 1 (Month 1-12): WP1 and associated training to obtain core skills in digital twin modeling and adversarial
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to simulate and optimise the high-temperature chlorination process used by Krystal Technology Ltd, a UK-based leader in high-purity quartz production. This project will deliver the first comprehensive CFD-DEM
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of international partners. Research will be done in the cooperation with Literal Labs, a NU spin-off from the School of Engineering that is working on logic-based ML models and with National Edge AI Hub. Number