7,194 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions in United Kingdom
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data set (e.g. neutron irradiations, that take years/decades to generate). Digilab brings AI/ML (artificial intelligence / machine learning) approaches for data engineering and automation to utilise
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and contribute to knowledge exchange activities relative to the discipline, contribute to learning and teaching on agreed programmes, including History of Art programmes and the MLitt Dress and Textile
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, organised researcher who can evidence: A PhD, or equivalent in statistics, machine learning or a closely related discipline, OR near to completion of a PhD. Expert knowledge of statistical inference methods
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Contract: Fixed-term, for 18 months with the potential to extend. Role Summary: We are seeking an inspirational leader to join CYM as Head of Learning. This is a key senior role, working closely
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between the brain signals of different subjects. The aim of this project is developing new adaptive and machine learning algorithms to successfully decode brain signals across subjects. The prospective
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will strive to continually excel as an innovative world-class university that makes a positive impact on society, living up to the University’s motto: “To learn and to apply, for the benefit of mankind
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Modelling, Applied Statistics, Linguistics, Data Analysis, Large Language Models, Machine Learning. Start date: 1st October 2026 Deadline: 30th April Duration: 36 months Funding: Funded Funding towards
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collaborations and perform cross-species comparisons. We use machine learning techniques for neural data analysis and computational modelling with a special interest in biologically-inspired deep learning and AI
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tumour bearing mice, employing orthotopic brain tumour models • Working with the project leads and other team members working on related studies at the UCL Great Ormond Street Institute of Child Health
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related PhD and a track record of successful research. They will be computer literate with strong communications skills and a proven ability to work as part of a multidisciplinary team. They will be excited