27 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"UCL" PhD positions at University of Birmingham
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have partnered with AWE to fund a 4-year Computational Project to use state-of-the-art Computational Chemistry techniques to understand structure-property relationships in oxide scintillators. We will
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a closely related discipline* Research Assistant: A first/masters degree (or equivalent) in atmospheric science or physics, civil and environmental or aerospace engineering, or a closely related
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systems and tools to respond using an ‘all hazards’ approach. For more information, please see: https://www.birmingham.ac.uk/research/centres-institutes/nihr-health-protection-research-unit-in-emergency
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Reniers, who bring expertise in the areas of human computer interaction and psychology respectively. The PhD student will be co-supervised by DfT’s Behavioural Science team, work alongside DfT teams at key
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biotechnology. The studentship is delivered in collaboration with the UK Defence Science and Technology Laboratory (Dstl) and will include a research placement at Dstl, providing unique experience in applying
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frameworks where all degradation modes are quantified – this is currently not the case which this EngD will evaluate in close partnership with EPRI and Julich. The UK currently does not host any fusion
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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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A fully funded PhD studentship is available for outstanding candidates to undertake cutting-edge research leading to a PhD in Chemical and Biomedical Engineering. The successful candidate(s) will
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There is growing UK and international interest in networked sensing and autonomous collaborative platforms, where multiple airborne sensors co-operate to collect and exploit data. In contrast
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. Fusion power plants demand structural materials capable of operating at >650 °C with high radiation tolerance. Traditional computational materials design workflows excel in data‑rich systems (e.g. Ni & Fe