432 machine-learning "https:" "https:" "https:" "https:" "The Open University" Fellowship positions in United Kingdom
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available at : https://www.mygov.scot/pvg-scheme Disclosure Scotland The post for which you are applying is considered to be a child care position in terms of The Protection of Children (Scotland) Act 2003
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skills
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, accumulated deformations, and their impact on structural performance, particularly for compression members. Develop data-driven reusability assessment platforms integrating NDT data, machine learning models
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conferences in areas of machine learning, computer vision, and Large Language Models and high-impact specialist peer reviewed academic journals. • Ability to conduct interdisciplinary research activities
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machine learning, spatial audio and audio-visual AI into groundbreaking creative technology. About you We seek a talented Research Fellow to investigate generative audio AI technology for production
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analysing qualitative data, synthesising findings, and supporting the preparation of reports, presentations, and academic publications. This role will be based at the Centre for Appearance Research (CAR
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Machine Learning (OxCSML) research group, with responsibility for leading and carrying out research pertinent to the project, as well as day-to-day management of research activities relevant to the project
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delivering high-quality teaching and learning, and research and innovation with a campus-wide focus on providing a sector-leading student experience. A culturally rich university with a palpable commitment to
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-minded institution with a relentless focus on delivering high-quality teaching and learning, and research and innovation with a campus-wide focus on providing a sector-leading student experience. A
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information/data from one structure can be used to manage similar structures from the same population. New machine learning, sensing and digital twin technologies will be developed with the aim of driving new