30 web-programmer-developer-university-of-liverpool PhD positions at University of Birmingham in United Kingdom
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maintenance and University fees, with continuation dependent on annual performance review. This PhD represents a unique opportunity to develop expertise in micro/nanoengineering, advanced diagnostics, and
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resilient. The PhD student will undertake a full research programme: interviewing participants, leading focus groups, designing studies, analysing data, developing models, designing technological, educational
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how large language models can generate goal-oriented robotic programs from natural language task descriptions and contextual information. Developing agentic AI architectures that allow robots to plan
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Wing with Bio-inspired Active Morphing Wingtip" in the research group of Dr Jun Wu at the University of Birmingham. The research focuses on developing a small-scale wing prototype with a bio‑inspired
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carriers is required. The interfacial layer needs also to be compatible with the sensitivity limitations of potential top-cell materials. The University of Birmingham is starting a new research activity in
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manufacturing systems. The student will also gain access to proprietary AI optimisation workflows developed at the University of Birmingham. 3. Scale-up modelling and experimental validation Translation
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Programme grant can be found at https://oncoeng.org/ Funding notes: The PhD project is funded through a University of Birmingham, School of Engineering PhD scholarship which provides maintenance
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the study of PDEs has attracted considerable attention in recent years. The aim of this project is to develop microlocal analysis techniques in analytic and Gevrey settings. The analytic scheme often yields
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neutrality. Rather than treating CO₂ purely as a waste product, this project investigates its potential as a renewable feedstock. The successful candidate will develop and study advanced catalysts and
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for emergency response coordination. The work aligns with the UK Government Resilience Action Plan which recognises that the UK cannot perfectly predict how risks will unfold, and across all risks requires common