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. Candidate Requirements -Masters degree in a science or engineering field, especially computer science, mathematics, physics, or neuroscience (2(i) / Merit or higher) -An interest in animal behaviour
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Statistics and AI for Engineering and Smart Manufacturing School of Mathematical and Physical Sciences PhD Research Project Competition Funded Students Worldwide Dr Wei Xing Application Deadline
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: 1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant Discipline. Funding Notes This project is only for self funded students. View DetailsEmail
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discipline (such as Computer Science, Mathematics or others related to the PhD topic), or international equivalent. If English is not your first language, you must have an IELTS score of 6.5 overall, with
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improve the robustness or responsiveness of vaccine supplies, but how do we decide whether such investments are ‘worth it’? This PhD will use mathematical and economic modelling within a multidisciplinary
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, computer science and data science) or its international equivalent to provide evidence for sufficient computing and mathematical background. Solid programming experience and familiarity with deep learning
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How are mass extinctions shaping biodiversity? School of Biosciences PhD Research Project Directly Funded UK Students Dr Thomas Guillerme, Dr G Thomas Application Deadline: 22 May 2024 Details Background: Understanding the effects of mass extinctions on life on Earth is of crucial importance in...
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(or international equivalents) in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics, or a related field. Why Choose Us? Funded PhD at the standard EPSRC rate covering fees and bursary. Funding
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, or Applied Mathematics. Prior experience with coding and CFD / CFD programming is desirable but not mandatory. Interested? Contact Dr. Marco Colombo ([email protected]) for informal inquiries. Apply
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fluid flows and computational fluid dynamics - Deposition from chemically reacting flows - Formulating mathematical models for deposition modelling - Numerical optimisation methods - Programming for high