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focus on the development of operation and future-aware multidisciplinary aircraft design framework. Air transportation activities increase faster than the introduction of new environmental impact
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information such as speeds, vibrations, approaching target distances, vehicle locations. This project aims for a systematic investigation on analysis, design, and evaluation of enhanced ISLAC waveforms
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Start date: September 2024 (Home/EU students and International) PhD Formula Student Electric Powertrain Design and Optimisation The Faculty of Technology Design and Environment at Oxford Brookes
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Project summary: The aim of this PhD is to explore how innovation ecosystems are developed and sustained. The theoretical understanding of how to construct innovation ecosystems remains
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on developing an innovative framework grounded in Design for Dynamic Management, we integrate AI and predictive analytics to enable adaptive decision-making. This PhD research at Cranfield University aligns with
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. This project is cross-disciplinary and focuses on Design optimization of hydrogen fuel cell-powered aircraft, working across two different departments within Imperial, the Dyson School of Design Engineering and
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sustainability for flushable, premoistened nonwoven wipes, e.g. use less, clean better, surface actives play an indispensable role. The aim of this project is to design and optimise innovative surface actives used
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Primary supervisor - Dr Amit Sachdeva Secondary supervisor - Prof Andy Cammidge Over the last decade, several antibody-based biotherapeutics have been developed for treatment of cancer. These antibodies often bind to cell surface receptors on cancer cells and direct them towards apoptosis...
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open up new embodied experiences online, and CYP may navigate a newly distributed ‘internet of sensations’, with wellbeing implications. Are you interested in the opportunity to research and design
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very challenging. Therefore, high-throughput screening of drug-like molecules needs to also consider their synthetic viability. The aim of this project is to develop a deep learning and generative design