436 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" positions in United Kingdom
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position within a Research Infrastructure? No Offer Description The Department of Computer Science wishes to appoint academics to strengthen our growing Artificial Intelligence and Machine Learning Research
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position within a Research Infrastructure? No Offer Description The Department of Computer Science wishes to appoint academics to strengthen our growing Artificial Intelligence and Machine Learning Research
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and machine learning. Topics of interest in this area include, but are not limited to: natural language processing, large language models, graph learning, prompt engineering, knowledge graphs, knowledge
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and partners (that range from Microsoft Research to the NHS). For this project you should have a strong interest in AI/Machine Learning as well as an ability to develop, build and test interactive
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collocates Hawkes (formerly CMIC), UCL’s AI Centre (AIC), and UCL’s Advanced Research Computing Centre (ARC) creating a vibrant hub of data-science researchers with interests from basic machine learning and AI
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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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, including potential advancement to Associate Professor. Teaching & Curriculum Development Design and deliver undergraduate and postgraduate courses in areas such as mathematical statistics, machine learning
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misconduct. Developing and conducting research focusing on decision-making with guidance from the academic team. Working with Insightful’s software design team of Artificial Intelligence and Machine Learning
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. The University of Melbourne provides an outstanding environment in which to develop innovative research in mathematical and statistical data science, with opportunities for collaborations with machine learning and
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an active part in addressing today’s most challenging healthcare and psychological issues, through research-informed teaching and active, real-world learning. The programme administration team provide a