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change accelerate, we urgently need smart, evidence-based tools to plan, manage, and protect our marine ecosystems. At the forefront of this innovation is machine learning. Its ability to process complex
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associated numerical methods and AI, will be used with High Performance Computing (HPC) to improve understanding of key flow physics and inform future HPT design. Skills and Experience Required: Applicants
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a first or upper second (2.1) class Master's degree (or equivalent) in chemistry, physics, materials science, computer science or other related discipline. Candidates with strong BSc (Hons) degrees in
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family who has a physical or mental health condition, or misuses substances); Have entered university at undergraduate level from a care background or as a Foyer resident; Be estranged from your parents
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candidates from all backgrounds to join our community. At the Department of Applied Physics, our pioneering research in physical sciences creates important industrial applications that hold great technological
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be UK nationals able to meet security requirements for access to military establishments Application Process Applicants should submit: CV Supporting statement of interest A 5-page research proposal
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efficient and safer to use in practice. The Research: This project is built around two key questions, giving you the chance to explore both the virtual and physical worlds of robotics: Systematic Exploration
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About the Project Join the School of Physics and Astronomy at the University of Birmingham for groundbreaking PhD research that aims to improve the knowledge of biological macromolecules
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bootcamp sessions as well as a choir. For staff on work visas, we also offer financial assistance towards visa renewal fees. These activities are designed to promote physical and mental wellbeing among staff
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of Statistics at University of Warwick, Department of Mathematical Sciences at Durham University, and School of Mathematics, Statistics & Physics at Newcastle University. You will contribute to the development