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computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading
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for distribution electric propulsion. Who we are looking for We are looking for enthusiastic, self-motivated applicants with first-class degree in Electrical Engineering, Aerospace Engineering or Computer
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propulsion. Who we are looking for We are looking for enthusiastic, self-motivated applicants with first-class degree in electrical engineering, Aerospace Engineering or Computer Science with good electrical
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necessary or desired background A first class or an upper second class British Bachelors Honours degree (or equivalent) in an appropriate discipline. Subject Area Medical imaging, computer science & IT, AI
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the above ‘Apply’ button. Under ‘campus’ please select *Loughborough* and select the programme ‘CDT Engineering Hydrogen Net Zero’. Please quote the advertised reference number *LU-EnerHy-2025-1* under
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function and its role in healthy development and disease. There is no brain-imaging method that allows us to measure infant brain activity with high resolution in both spatial and temporal dimensions
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members of the Department and scientific collaborators based in other institutions. In particular, there will be links with the Department of Computer Science and Technology in Cambridge. The post-holder
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Sodium-ion batteries are rapidly emerging as a powerful alternative to lithium-ion systems—offering significant advantages in cost, sustainability, and safety. To unlock their full potential, advanced gel polymer electrolytes (GPEs) are needed to boost energy density and reliability. This PhD...
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MLPs to run classical MD simulations and characterise thermal transport. This PhD project will be based within the School of Engineering, University of Edinburgh. This PhD project will be supervised by
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(CAD) since 2016 and CT- Fractional Flow Reserve (CT-FFR) as a second line test since 2017. In 2018 a national health technology programme funded CT-FFR utilisation with the aim of improving patient