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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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Institute, with close ties to the Department of Computer Science and Technology. Preferred skills/knowledge We are seeking a passionate and collaborative PhD student with a strong background in machine
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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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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
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: Open to International (including EU) and UK (home) students. You can apply if you have, or are expecting to gain, at least an upper second-class honours degree or equivalent. Due to the interdisciplinary
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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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to how well they meet the following criteria: A first-class honours degree (or equivalent) in Engineering, Materials Science, Mathematics or Physics Excellent written and spoken communication skills in
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undergraduate honours degree in Engineering, Mathematics, Computer Science or Physics Excellent English written and spoken communication skills The following skills are desirable but not essential: Background in
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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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acceptable but a passion for the topic area is critical. Examples include: Mathematics, Statistics, Physics, Data Science, Physical Geography, Environmental/Biological Sciences, Economics, Finance, Engineering