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, Engineering) and should be self-motivated, able to take ownership of their research, and effectively communicate their research findings. Training in all the computational and experimental methods will be
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their research findings. Training in all the computational and experimental methods will be provided in the project, although relevant previous experience would be advantageous. Applications for this PhD project
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additional training costs; A comprehensive individual training programme, across all years of the award; A funded three-month placement opportunity. How to apply You should first approach a potential lead
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-verification, and in-country assessments of the nature, extent and likelihood of threats to these heritage sites. MAEASaM is a partnership programme, with the University of Cambridge serving as the lead and
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of Computer Science, and the machine learning group in particular, conduct world-leading research across a wide range of disciplines. Sheffield University is home to the Centre for Machine Intelligence (which
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: Computational Modelling: Employing simulation tools (e.g., GEANT4, light transport) to explore novel metamaterial designs, predict performance, and optimise key parameters such as timing resolution, light yield
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for the duration of the studentship plus university tuition fees. How to Apply: All applications should be made online via the above ‘Apply’ button. Under Campus, please select ‘Loughborough’ and select Programme
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) under the supervision of Dr Elton Santos, and Dr Nina-Juliane Steinke. This is a joint programme between both institutions, which combine advanced modelling methods (spin dynamics, quantum approaches, AI
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Meier and the wider Systems Science in Public Health team within the Public Health Unit, School of Health and Wellbeing. HealthMod is a large UK-wide research programme which connects scientists
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Qualification: Doctor of Philosophy in Engineering (PhD) Eligibility: UK Students, EU Students, International Students Award value: Home fees and tax-free stipend - See advert for details Project Title: Next-Generation Membrane Testing for Fuel Cells and Electrolysers Using Terahertz...