206 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"Bournemouth-University" Fellowship positions in United Kingdom
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, 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 to on-site childcare
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Development & Professional Learning team. Access to on-site childcare, shopping discounts and travel schemes are also available. And much more! To explore the post further or for any queries you may have
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mission is to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society. Singapore is the small city with a big dream. We are home
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of the Armed Forces Covenant , we ensure our hiring process is inclusive and welcoming. We are committed to ensuring reasonable adjustments are available for interviews and workplaces. Whilst all applicants will be
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About Us The School of Science and Technology at Nottingham Trent University (NTU) is an exciting multidisciplinary environment for learning, teaching and research, with some of the best facilities
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& Professional Learning team. Access to on-site childcare, shopping discounts and travel schemes are also available. And much more! To explore the post further or for any queries you may have, please contact: Dr
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Part time (80%FTE) The Post The project aims to intervene in the steep decline in Anglophone language-learning by identifying the elements underpinning successful cultures of language-learning
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/September 2026 start, 1 post for February 2027 start)¿ will primarily undertake small group teaching of student doctors in years 1 and 2 of the MBChB curriculum, including case-based learning and teaching of
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believes in continuous learning and development Proficient in technical writing and presentation Possess strong analytical and critical thinking skills Show strong initiative and take ownership of work
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and the ability to publish high-quality academic outputs. You are expected to have proven experience in developing and applying predictive deep-learning models for data-driven analysis and forecasting