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University) in Engineering or similar relevant science discipline. We also welcome applications from graduates in computational science or mathematics. Note for international and European applicants: details
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to oceanography and climate research communities. PERSON SPECIFICATION This project is suited for a candidate with a background in natural sciences, engineering or mathematics, with good numerical and programming
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Data-driven predictions of dynamical systems are used in many applications, ranging from the design of products and materials to weather and climate predictions. Mathematical concepts from geometry
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with the Department of Statistics at University of Warwick, Department of Mathematical Sciences at Durham University, and School of Mathematics, Statistics & Physics at Newcastle University. You will
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science, technology, engineering, mathematics and medicine (STEM) in higher education. Due to funding restrictions, applicants not eligible for UK home fee status will only be considered in exceptional
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. Throughout the PhD, the candidate’s career aspirations will be well-supported. Funding notes: Funding is available through the School of Mathematics for a suitably strong candidate. The scholarship will cover
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Research themes: Cyber Security, AI, Decentralized Systems, Applied Cryptography UK students This 3.5-year PhD studentship is open to Home (UK) applicants. The successful candidate will receive an
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a relevant subject (physics, mathematics, engineering, computer science, or related subject) Proficiency in English (both oral and written) A strong background in computer science, artificial
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The PhD studentship will be based at the University of Cambridge in the Department of Materials Science and Metallurgy as part of the Structural Materials Group. The Structural Materials Group is a
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, mathematics, engineering etc.). Enthusiasm for research, the ability to think and work independently, excellent analytical skills and strong verbal and written communication skills are also essential