52 web-programmer-developer "https:" "https:" "https:" "https:" "Washington University in St" PhD positions at Newcastle University in United Kingdom
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UKRI rate). Overview The vHABIT project develops an informatics-driven framework for monitoring, modelling, and managing floor vibration risk in occupied buildings. As climate adaptation drives
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UKRI rate). Overview This PhD aims to improve risk assessment and mitigation of high-impact and damaging weather events by developing catastrophe model methods, and adjustment factors to address current
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‑related pathways, long‑distance wind‑borne dispersal may also represent a significant introduction route for insects. This project aims to develop and apply quantitative methods to assess wind-borne
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reliability. This PhD project will develop lifecycle and systems‑level models that track these fuels from production through storage, onboard use and energy conversion. Using advanced simulation and analysis
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hydrogen, ammonia, methanol and advanced biofuels into vessel operations while maintaining performance, safety and reliability. This PhD project will develop lifecycle and systems‑level models that track
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dispersal may also represent a significant introduction route for insects. This project aims to develop and apply quantitative methods to assess wind-borne dispersal risk for a range of pests of concern to GB
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assemblage changes. Determining how coral reef fish food webs and energy pathways are connected along extended depth gradients of 0-90 meters. Based in Newcastle, and with international supervision, you will
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programme that will train the next-generation of doctoral carbon champions who are renowned for research excellence and interdisciplinary systemic thinking for Net Zero. The ReNU+ vision is that they will
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systems with "self-diagnosis" and "self-healing" capabilities. By integrating federated learning, graph neural networks, and blockchain technology, we will develop a framework that moves beyond static
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analysis, with the aim of understanding how quantum-safe cryptography can be effectively integrated into next-generation network architectures. The work will contribute to the development of secure