7,098 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" positions in United Kingdom
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to develop and grow and deliver their best work in a hard-working and encouraging environment. About the Job As our Learning & Development Partner, you'll play a key role in shaping how people grow and succeed
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Libraries and Archives. The role: This new role is an exciting opportunity to build on and enhance the digital learning provision across Cambridge University Libraries and Archives. Through developing high
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leading School. In this role, you will: Teach at undergraduate and master’s level, including lectures, seminars, tutorials and computer labs. Act as a personal tutor, providing academic and pastoral support
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We are seeking to appoint a Monitoring, Evaluation and Learning Lead within the Pandemic Sciences Institute. You will be responsible for providing expert leadership on monitoring, evaluation and
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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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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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modelling, multimodal neuro-imaging and physics-informed machine learning to improve assessment of glioblastoma treatment response. The candidate will also be expected to contribute to the formulation and
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. Visit http://www.sheffield.ac.uk/sgs to learn more. Funding Notes First class or upper second 2(i) in a relevant subject. To formally apply for a PhD, you must complete the University's application form
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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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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