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Field
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prediction tasks. Knowledge of a wide range of statistical tools and clustering / prediction algorithms is required. Experience of using foundation models and generative AI would be an advantage. Specific
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Computer Science, ranging all the way from abstract mathematics and theoretical physics to high-performance numerical simulation algorithms. As a Senior Scientist in the “Quantum Information and Quantum Many-Body
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of novel algorithms to analyse short tandem repeats from short- and long-read sequencing data. Knowledge of current analytic approaches for obtaining insight into the aetiology of mendelian and complex
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of Stellar Systems' research group led by Prof. Glenn van de Ven. Our ideal candidate has a solid background in computational astrophysics, strong track record in software development, and keen interest in
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Computational imaging: seeing beyond the capabilities of conventional optics School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Andrew Maiden Application Deadline
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have designed and introduced new control laws into Trent gas turbine engines and developed algorithms monitoring fleets of 100s of engines flying all around the world. During the PhD, you will have the
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resolution. The development of new imaging modes will also require new acquisition and computational processing techniques, and you will work closely with the theory and algorithmics project group. Ultimately
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technologies. Applicants must have a PhD degree (or have submitted a PhD thesis) in Electrical, Electronic, computer engineering, Computer science or a related healthcare discipline, have excellent knowledge and
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quantum computing hardware. Theoretical Computer Science, including algorithms and data structures, complexity theory, cryptography and information theory, quantum algorithms, and theory of quantum
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Physics based machine learning algorithm to assess the onset of amplitude modulation in wind turbine noise (with TNEI Group)