233 machine-learning-"https:" "https:" "https:" "https:" "https:" uni jobs in United Kingdom
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methods and the potential to develop pioneering reconstruction and calibration techniques involving machine learning. The PhD will prepare equally well for a career in industry and academia. The candidate
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committed to an equality charter (see https://www.hw.ac.uk/about/our-schools/mathematical-and-computer-sciences/about-us/our-equality-charter ), which includes having a diverse and inclusive workforce, and
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, the School is deeply connected to healthcare delivery and committed to improving lives through applied learning, clinical excellence and innovation. The Role This is a rare opportunity to lead a School with
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of financial systems, blockchain-based decentralised finance, and financial machine learning. The postholder will also be expected to carry out excellent research-led teaching and related admin duties to support
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of dark matter particles in the decay of the gluinos. The search will be performed using the full ATLAS Run-3 13.6 TeV proton-proton collision data. The student will gain expertise in machine learning and
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Are you an enthusiastic, competent and proactive team player, who is highly motivated to learn? About the role We’re looking for a Quality Assurance Administrator to join the Faculty Quality Team
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and materials engineering. They will do this by integrating modern data-centric approaches, such as physics-informed machine learning, structure-aware modelling, and digital-twin methodologies, with
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of results. Highly motivated and have good communication, project management and organisational skills. Willing to learn new skills and techniques. Desirable Experience in proteomics and cancer models would be
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develop our composite machining team. In this pivotal role, you will lead a diverse group of staff, fostering their skills in CNC programming and operation to efficiently undertake research relating
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physical computing systems design. Our infrastructure supports disciplines ranging from engineering and physics to life sciences, climate modelling, machine learning and computer vision, and wider data