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How does a molecule walk? Computer simulations of molecular machines in action School of Mathematical and Physical Sciences PhD Research Project Directly Funded UK Students Prof Sarah Harris, Dr
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intervention models will lead to suboptimal decisions, potentially jeopardising the safety of a structure and increasing the costs. Traditional approaches to machine learning establish correlations between some
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EngD: Advanced Real-Time Temperature Monitoring for High-Speed CNC Machining in Smart Manufacturing (sponsored by Ceratizit) EPSRC Centre for Doctoral Training in Machining, Assembly, and Digital
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, brain-inspired computation. Supervisor Bio Professor Eleni Vasilaki is a computational neuroscientist who has spent years building bridges between biological learning theory and machine learning. Her most
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accepted all year round Details This PhD project focuses on using topological data analysis (TDA) in machine learning (ML) to study (exotic) quantum matter systems defined on a lattice. TDA is a technique
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happen is not straightforward, and success is far from guaranteed. Using AI as a tool for scientific research requires deep knowledge of both the subject area being studied and the AI and machine learning
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treatment window may already have passed. Project Aim: This project proposes the development of an innovative approach that applies computer vision and machine learning to detect early signs of stroke through
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survival is shaped by resource availability, competition, and cultural knowledge of food resources. You will work with an established bioacoustic dataset, a validated call machine-learning classifier, and a
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Overview We have an exciting opportunity for a motivated and enthusiastic individual interested in biodiversity, evolution, neuroscience and machine learning to join the Leverhulme Trust funded
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2050. To decarbonise our airways and enable zero emission flights, we need high power-density, efficient and fault tolerant electrical machines. Cryogenic motors can provide the answer, however, this