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and decision science will be especially welcomed. ● Secure peer-reviewed competitive funding for research projects. ● Achieve an optimal standard of academic contribution by publishing research findings
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Model Based Design and Flight Testing of a Vertical Take-Off Vertical Landing Rocket (C3.5-MAC-John)
, pitch/yaw angle and more, to ensure the hopper operates within a safe flight envelope. The student will work with academics at the University and other PhD students to develop and implement fuel-optimal
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redirecting blood flow, then safely dissolving, eliminating long-term risks of permanent implants and aligning with Net Zero Goals. You will use modelling to identify an optimal PHA-based design with a
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previous work to channel flows, both with and without wall roughness. The research will focus on, firstly, optimal synchronisation of minimal unit turbulence (MUT), leveraging the simplified dynamics in MUT
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, but current methods are not always efficient or optimal. The process lacks an intelligent, informed approach to selecting the best grinding parameters, which can lead to inefficient maintenance actions
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to achieve the required rail profile. Two grinding regimes are typically used: (i) preventive to return a rail to profile to keep optimal contact conditions for train ride comfort and reducing contact stresses
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single-photon and entangled-photon sources using III-V semiconductor quantum dots at telecom wavelengths. The research will involve developing photonic structures to optimize the photon emission rate and
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of the interaction between light and spin within these molecules and to engineer their light-based initialization and read-out for optimal performance. The custom-synthesized molecules you will explore have been
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clinical checks—when interventions can have the greatest impact on patient outcomes. However, in current practice, diagnosis is often delayed until the patient arrives at hospital, by which time the optimal
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systems. This project aims to understand how cells in the central nervous system efficiently fill space during development -a process critical for optimizing functions like sensory information processing