31 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Swansea University in United Kingdom
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(https://gow.epsrc.ukri.org/NGBOViewGrant.aspx?GrantRef=EP/X037886/1 ), led by Gil Alexandrowicz, studying the interaction potential between hydrogen molecules and a surface. The MMI beam line has the
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working 14 hours a week. The Population Data Science group at Swansea University (https://popdatasci.swan.ac.uk/ ) supports world-leading research to develop cutting-edge analytical tools and methodologies
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Provide human experts with a reliable second opinion This project integrates image processing, data analytics, machine learning, and computational modelling, with applications in aerospace, mechanical
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Wales, meaning most paediatric records are handwritten and unstructured. The project will prioritise digitising these records using natural language processing (NLP) and machine learning (ML) to create
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are seeking enthusiastic and qualified Lecturers to join our bank of lecturers on our academic team to teach on a range of business, management, finance, accounting and economics modules across foundation
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contribute to learning and teaching objectives of the Department of English Language Training Services (ELTS) Main duties and responsibilities expected of English for Academic Purposes (EAP) Tutors are: Tutors
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working 21 hours per week. The Gambling Research, Education and Treatment (GREAT) Centre is seeking a Research Officer for the Look Back to Move Forward study of pathways to gambling harm among Armed Forces
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community of students and scholars, with a focus on providing our students with a variety of experiential learning opportunities, including the opportunity to volunteer at our Law Clinic. We are looking
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individual to provide advice, support and training to facilitate effective digital learning at the University. The Education Development Team (“EDT”) works together with Faculty and professional service
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post-quantum cryptography. The simulation of these case studies will enable the validation of their cyber resilience properties by employing appropriate AI approaches such as reinforcement learning