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Magnetic Nano-particles for the separation and purification of proteins School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr L Twyman Application Deadline: Applications
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all year round Details Hybrid RANS/LES Simulation of Wind Turbine Funding Notes 1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant Discipline
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of the fuel cell system that powers a small electronic device and/or producing a mathematical/CFD model. Funding Notes 1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied
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methods tailored for individual fuels and operation conditions. Funding Notes 1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant Discipline. This
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:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant Discipline. This project is available only for Self funded students. View DetailsEmail
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the wind farm to reduce the turbine wake effects and maximize the wind farm power output. Advanced mathematical and computational fluid dynamics modeling techniques will be employed with supplementary
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and mathematical modeling and design technology will be developed together with supplementary experimental investigations to analyze and improve the overall performances of the wind turbine. The work
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or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant Discipline. This project is available only for Self funded students. View DetailsEmail
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or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant Discipline. This project is available only for Self funded students. View DetailsEmail
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, Applied Mathematics, or other Relevant Discipline. This project is available only for Self funded students. View DetailsEmail EnquiryApply Online