4,037 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" positions in United Kingdom
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courses, and intensive learning experiences. The focus is on mastering real-world professional challenges, enabling students to apply their knowledge immediately and preparing them optimally for the global
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courses, and intensive learning experiences. The focus is on mastering real-world professional challenges, enabling students to apply their knowledge immediately and preparing them optimally for the global
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Markov chain Monte Carlo. Publish in leading machine learning, AI, statistical, mathematical, or appropriate application journals. Contribute to publications in these journals jointly with other members
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, QET Labs for quantum technologies, and Isambard AI, the UK’s most powerful AI supercomputer, accelerating breakthroughs in machine learning, drug discovery, and climate modelling. With a £1.1bn annual
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Midlands Graduate School Doctoral Training Partnership | Nottingham, England | United Kingdom | about 2 months ago
., mixed‑effects models, machine learning and network analysis). A Master’s degree (with distinction/merit) is desirable. Current Master’s students are encouraged to apply, indicating their expected degree
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variety of CAI’s across all chondritic meteorites, machine learning analytics will be employed on a range of microscopy data sets, both archival and freshly acquired. Starting from optical micrographs a
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understanding of all building fabric/services related trades with the ability to quickly develop and learn new skills Contributing as appropriate to ensure a positive safety culture within the team Basic
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machine learning with rigorous statistical methods to address fundamental questions in cosmology and beyond. The research aims are to develop novel inference frameworks for cosmology and apply them
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and an improving REF performance. Our major building and refurbishment facilities is providing enviable teaching and learning resources, outstanding laboratory provision and leading IT resources
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working relationships with academic staff and colleagues use strong IT and information management skills to maintain records, databases, and webpages work proactively and flexibly, learning new systems