12 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" Fellowship positions at University of Leeds
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Overview of the Role Are you experienced in machine learning and looking to apply your skills to solve new challenges and reduce disaster risk? Do you want to further your career in one of the UKs
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/skilled-worker-visa . For research and academic posts, we will consider eligibility under the Global Talent visa. For more information please visit: https://www.gov.uk/global-talent What we offer in return
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fieldwork, lab experiments, sample analyses, data modelling and interpretation, to learn if and how seabed trawling affects long-term marine carbon storage and to influence governance of the UK seabed. Please
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transferring learning from other geographic regions and data types, machine learning methods, Bayesian inference and interrogation theory. The post may involve travel to Iceland and Italy in support of your work
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state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls. Personal Development: Access to courses run by our Organisational Development & Professional Learning team
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, climbing wall, cycle circuit, and sports halls. Personal Development: Access to courses run by our Organisational Development & Professional Learning team. Access to on-site childcare, shopping discounts and
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-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls. Personal Development: Access to courses run by our Organisational Development & Professional Learning team. Access
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or pedagogy? Are you looking to set an aspirational standard of teaching excellence and pedagogic scholarship? Are you interested in fulfilling a project exploring the student learning and teaching experience
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: Access to courses run by our Organisational Development & Professional Learning team. All FMH staff are entitled to ten days staff development per year (pro rata). Please speak to your Line Manager about
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Impacts of Learning Indoor environments under net zero) is a five-year UKRI/NIHR funded project in collaboration between five universities (UCL, Leeds, Imperial, Swansea, York) and the UK Health Security