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learning, control theory, and embodied autonomous systems. The successful candidate will contribute to the development of learning-based control methods that are not only high-performing, but also safe
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functional theory. In collaboration with Phasecraft, a leading quantum algorithms company, this project will explore the generation of new quantum computing datasets and the development of machine learning
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optimisation theory or an interest in the energy and sustainability implications of AI would be particularly welcome. Supervisors: Prof. Mark van Rossum (School of Psychology), Dr. Shreyank Narayana Gowda
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functional theory. In collaboration with Phasecraft, a leading quantum algorithms company, this project will explore the generation of new quantum computing datasets and the development of machine learning
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leverage advanced bespoke continuum robotic systems to demonstrate the feasibility of applying the proposed coatings can be deployed in-situ. Ultimately, this work bridges the gap between the theory
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in developing new theories of understanding by exploring research cutting across the following areas: Investigating material evolution and degradation mechanisms under cryogenic cyclical conditions
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. By integrating local probe measurements with complementary theory and materials growth efforts, the project will also strengthen critical links throughout the School of Physics and Astronomy, while
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to architectural design, human-building interaction, digitally-driven adaptive architecture, personal data, mental health and wellbeing, and theories of embodiment. What is the funding for: full fees and a monthly
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nitrogen emissions. In this interdisciplinary project, you will: Review the state-of-the-art technologies for ammonia combustion/oxidation. Conduct theory-driven material screening and develop advanced