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Technology You should also complete a narrative CV (500-1000 words) addressing the project’s aims and objectives, demonstrating how the skills you have map to the area of research, how your experience makes
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backgrounds who are eager to contribute to cutting-edge research at the forefront of nuclear technology. The PhD studentship comes with a competitive stipend. Objectives This PhD opportunity, offered in
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, or events within the furnace. Entry requirements: We are looking for an enthusiastic, self-motivated candidate with a 1st class or high 2:1 undergraduate degree in an engineering or relevant physical science
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research. The project will involve computational modelling using physics- and machine learning-based methods and would suit a top student with a background in Physics, Engineering, Mathematics or similar
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of Sussex, in partnership with the University of Bristol, has launched the new EPSRC Centre for Doctoral Training in Quantum Information Science and Technologies (QIST) funded via the UK Engineering and
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of the GDPR, Federated Learning (FL) has emerged as a leading privacy-preserving technology in Machine Learning. Despite its advancements, FL systems are not immune to privacy breaches due to the inherent
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master’s (or international equivalent) in a chemical engineering, physical chemistry or related discipline. Experience programming is essential. Knowledge of molecular modelling is highly desirable
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geological disposal facility, a highly engineered subterranean structure designed to store the waste for >100,000 years. Historically, two industrial scale powder processing routes have been used
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alternative models where existing methods prove inadequate. This project is suitable for Engineering or Physics graduates with a strong background in fluid mechanics and heat transfer, preferably with
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of objects relevant to AWE’s mission. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related