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We invite applications for a PhD project focused on fundamental research into novel low-emission ammonia combustion/oxidation processes. This position is based within the Faculty of Engineering at
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modes (e.g., HCCI) for net-zero fuels like hydrogen and ammonia. A key innovative pillar is the development of an AI-driven control strategy. Machine learning algorithms, including reinforcement learning
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(to make the egg-carrying embryo-sac). Both are essential to seed production, and so our food security. Many of the genes that control male meiosis are known[1] but female meiosis is very different and
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from all backgrounds to join our community. The Nonlinear Systems and Control group (https://www.aalto.fi/en/department-of-electrical-engineering-and-automation/nonlinear-systems-and-control ) at Aalto
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Abstract: This is a unique opportunity to join a cutting-edge PhD project in collaboration with leading energy materials researchers and industry partners. Ion-exchange membranes are key
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lacks good surface finishing quality. This project will investigate the science behind titanium chemistry and surface finishing for the control of porosity in engineered lattice components
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Qualification: Doctor of Philosophy in Engineering (PhD) Eligibility: UK Students, EU Students, International Students Award value: Home fees and tax-free stipend - See advert for details Project
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to oceanography and climate research communities. PERSON SPECIFICATION This project is suited for a candidate with a background in natural sciences, engineering or mathematics, with good numerical and programming
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be undertaken at Imperial College London (Control and Power Research Group, Department of Electrical and Electronic Engineering) under the co-supervision of Professor Balarko Chaudhuri and Professor
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encapsulate and embed these molecules into well-defined, injectable microparticles. This is one example of next-generation therapeutics, with a sustained and controlled drug release over a prolonged period