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Fixed-term: The funds for this post are available for 48 months. The Project Applications are invited for a PhD student to work on machine-learning guided and verifiably correct code generation
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quantum computers, development of compilation techniques to reduce resource requirements of quantum applications, machine learning techniques to design scalable building blocks for early fault tolerant
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aims to develop and apply the cutting edge of Bayesian analysis and machine learning to the optimisation of satellite configurations for GNSS-R. Combining the data science expertise of Dr Handley's
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, machine learning & high-performance computing is desirable but not essential. Research centres: Université catholique de Louvain, Belgium Technische Universiteit Delft, The Netherlands Université du