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are inherently highly complex. In this research project you will use state of art AI-based optimization algorithms to develop new functionality into industry-relevant digital design tools (CAD) to support
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of these optimal protocols. Funding Notes This project is for self or externally funded students only. References https://www.quantumbespoke.com/ View DetailsEmail EnquiryApply Online
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. Optimal sensor placement, identified through adjoint-based sensitivity analysis to improve assimilation efficiency. By embedding physical laws into data assimilation, these methods bridge the gap between
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of art AI-based optimization algorithms to develop new functionality into industry-relevant digital design tools (CAD) to support disassembly tasks in the energy sector (wind turbines). You will also
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aim is to implement medical and synthetic chemistry experience to generate compounds with desirable biological activity, selectivity profile and optimal physicochemical properties. The position offers
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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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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 to help in
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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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cells (hPSCs) are particularly promising, as they can be differentiated into a diverse range of neural cell types. Our lab has successfully optimized protocols for the differentiation of hPSCs