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The team of Dr Hunt, Dr Nolan, Prof Norris, and Dr Bailey at Brunel University London is offering a fully funded PhD studentship to co-design a physical activity intervention for working-age adults
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tolerances that can influence the performance of the thruster unit. Develop a statistical model, based on first principles physics, to predict the performance of the thruster unit given a set of parametric
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Jonathan Breeze in the Department of Physics & Astronomy, University College London. Rydberg atoms, highly excited electronic states, offer exciting opportunities for exploring quantum light-matter
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Duration of study: Full time - 4 years fixed term (1y MRes + 3y PhD) Starting date: September 2024 Primary Supervisor: Prof. Ilias Tachtsidis, Department of Medical Physics and Biomedical
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The recent advent of deep learning (DL) has enabled data-driven models, paving the way for the full exploitation of rich image datasets from which physics can be learnt. Here at the University
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structures, thus distinguishing the chemical properties of building blocks from the physical and mechanical material properties. These characteristics open up endless possibilities in material design, with
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) would be advantageous. Due to funding restrictions, this scholarship is unfortunately only open to applicants eligible to pay tuition fees at the UK home rate. Application process For details on how
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, but also to have the ability to work independently. How to Apply To apply click on ‘Apply Online’ and fill out the application form. Further information about the application process can be found here
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training bursary of £2,000. The candidate will be expected to complete the full application and admissions process to in September 2024. Eligibility criteria Applicants must have at least an upper second (2
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and machines for physical lab-scale experiments, the researcher should be familiar with testbench setup (e.g., battery emulator and inverter/converter) and machine tests. Relevant experiences will be