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could increase the process build rate, and thus reduce carbon emissions, and uptake for this process across a wide range of sectors, offering solutions not possible by conventional manufacturing methods
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on the reliability of the transformers. Hence this research aims to develop a multi-objective optimisation method to incorporate carbon footprint, total cost of ownership and the transformer reliability in selecting
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we use quantum coherence to realize novel improved sensors? Can we protect quantum states and computations indefinitely so that large-scale quantum computations become possible? And does quantum
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Announcing 10 PhD Studentships within the Royal Holloway Social Purpose Centre for Doctoral Training
for the Everyday). We have an excellent Researcher Development programme, and wider institutional postgraduate training. We are committed to supporting a strong and growing PGR community, including PGR-Led
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for 2024/25). This funding is available for home, EU students. Identifying materials within sealed containers is of interest to the UK’s continuing stewardship of nuclear material. Radiological methods can
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to obtaining their visa and to study on this programme. We have three possible start dates for this studentship - January 2026, April 2026 or September 2026. Please note your preference in your application form
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academic performance in undergraduate and, where applicable, Master’s coursework Advanced programming skills in R and Python Familiarity with econometric techniques, especially panel data methods Ability
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and PACS2 disrupt proteostasis, neuronal metabolism, neurotransmission, and behavior. Successful candidates should have expertise in research methods necessary to complete these NIH-funded studies
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Date 1 Nov 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description
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will be key to ensuring that useful measurements, methods and representations are developed. In particular, the project will support designers to achieve driver and passenger experiences that surpass