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to undertake fundamental research that is highly mathematical in nature. How to apply: Stage 1: Submit your 2-page curriculum vitae (CV), transcripts and 300-word statement explaining your motivation
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(or international equivalent) in: Engineering, Mathematics, Computer Science, Physics, or a related discipline. We would also like to see enthusiasm for collaboration and software engineering, experience of C
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honours MEng/MSci or higher degree (or international equivalent) in: Engineering, Applied Mathematics, Physics, or a closely related field We are also looking for a strong background in aerodynamics/CFD
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Engineering, Physical Sciences, and Mathematical Sciences. Why chose UCL? UCL has a history of academic excellence and is consistently ranked among the world's top universities, with many of our faculties
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and optimization of machine learning methods. Candidate’s profile An ideal candidate would typically have: a strong degree or higher qualification in a relevant field (e.g. computer science, mathematics
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, this interdisciplinary project will couple mathematical models of earthworm movement, stochastic models of the measurement process and designed experiments to improve earthworm detection. Project This project will work
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relevant to the proposed PhD project (inc. computing, mathematics, engineering etc.). Enthusiasm for research, the ability to think and work independently, excellent analytical skills and strong verbal and
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community, and support long-term societal impact. We welcome applicants from background, including but not limited to computer science, data science, engineering or mathematics, who are passionate about
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astrophysics, and reproducible research software development. Candidate Profile We welcome all applicants with a background in: • Physics, Astrophysics, Data Science, Applied Mathematics or a related field
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Science is pleased to announce THREE fully funded PhD scholarships in fields related to mathematical and statistical methods to advance medical research. We ask applicants to choose ONE project from