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dynamics – direct numerical simulation (DNS). Funding Notes 1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant Discipline. View DetailsEmail
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of carrying out experimental work. Funding Notes 1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant Discipline. View DetailsEmail EnquiryApply Online
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in Physics, or in related fields such as Applied Mathematics, Quantitative Biology, Computer Science, or Data Science. If you’re interested in this research but unsure about your qualifications, feel
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to exploit approximate or computational solutions; however, this can be unsatisfactory in that it lacks in valuable physical insight. This insight is often crucial in changing partial mathematical solutions
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PhD at the Forefront of Computational Solid Mechanics and Machine Learning School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr J L Curiel Sosa Application
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Cohomology of arithmetic lattices in GL(2) over the Hamiltonians School of Mathematical and Physical Sciences PhD Research Project Directly Funded Students Worldwide Dr Haluk Sengun Application
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of sublinear time computation like the streaming model) if the candidate is interested. The project falls in the broad area of theoretical computer science. The project will involve mathematically proving
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years. Education A strong 4-year degree or MSc degree in Mechanical, Aeronautical, Civil, Chemical Engineering, Applied Mathematics or Physics. Knowledge, skills Fluid mechanics; desirable: wall-bounded
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mathematical solutions into practical/applicable engineering solutions. Furthermore, it can be difficult to actually establish the equations of motion of nonlinear systems; this can be accomplished using system
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of parallel computing (GPUs) to speed solution within the optimisation process. Funding Notes 1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant