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Computational Astrochemistry/Algorithm development for Quantum Dynamics Calculations School of Mathematical and Physical Sciences PhD Research Project Self Funded Prof AJHM Meijer Application
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Physics based machine learning algorithm to assess the onset of amplitude modulation in wind turbine noise (with TNEI Group) EPSRC Centre for Doctoral Training in Sustainable Sound Futures PhD
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Computational Circular Design: Development, scalability and computational efficiency of surrogate-assisted many-objective optimisation algorithms for circular design for disassembly (C3.5-AMR
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Computational Circular Design: Development, scalability and computational efficiency of surrogate-assisted many-objective optimisation algorithms for circular design for disassembly (C3.5-AMR
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detector in space: the Laser Interferometer Space Antenna (LISA) satellite. LISA will detect lower-frequency gravitational waves from supermassive black holes that lie at the heart of most galaxies. A key
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of the Laser Interferometer Space Antenna (a gravitational wave detector) in 2035. The project would suit a student with strong analytical skills, who can push forward a technically-demanding project(s) that
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novel electrically-small antenna (guided by Dr Stephen Henthorn) using extreme meandering and metamaterial-inspired approaches. You will be working as part of a friendly and supportive, highly cross
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quality, avoiding the paralysis that troubles artificial algorithms when options seem equally good. This project asks: what objective functions do such biological systems optimise, and how can we use
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, autonomous learning agents are likely to take an active role in human society, engaging in daily interaction and collaboration with humans. Developing learning algorithms that enable these agents to produce
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. Without these guarantees, the algorithms will remain limited to experimental testbeds. The aim of this project is to address this limitation by combining the complexity of deep-learning control policies