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, Chemistry, Applied Mathematics, or other Relevant Discipline. This project is available only for Self funded students. View DetailsEmail EnquiryApply Online
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to automatically deduce equations that link the input drivers to the system output from input-output data. The field of system identification has developed tools for deriving such mathematical models from data. A
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”. This exciting opportunity involves leading the development of advanced data-driven mathematical and computational models to suppress turbulence in pipe flows, contributing to pressing engineering efforts toward
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Searching for Sterile Neutrinos and other Beyond the Standard Model phenomena with SBND School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Rhiannon Jones, Prof Vitaly
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The Japanese Long-Baseline Neutrino Programme (T2K, Super-Kamiokande and Hyper-Kamiokande) School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr S Cartwright, Dr Patrick
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, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant Discipline. This project is available only for Self funded students. View DetailsEmail EnquiryApply Online
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Collective morphodynamics in the central nervous system School of Mathematical and Physical Sciences PhD Research Project Directly Funded UK/EU Students Dr Mehmet Ucar Application Deadline
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Development of a Wearable Sensor System and AI-Driven Analysis for Objective Bruxism Assessment
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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