834 computer-science-programming-languages-"St"-"St" Fellowship positions in United Kingdom
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the Medical Research Council. The Research Fellow will be using Natural Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of
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-represented at this level in this area. All appointments will be made on merit or skill and experience relative to the role. Salary from £53,949 to £62,160 pa inclusive with potential to progress to £69,073
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Birmingham Professional programme which provides all professional services staff with development opportunities and the encouragement to reach their full potential. With almost 5,000 professional services jobs
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are looking for a talented Postdoctoral Research Fellow to join the RADAR-SIGN-BRIDGE project – an exciting initiative to develop privacy-preserving radar technology for British Sign Language (BSL) recognition
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to appoint a Research Fellow responsible for the day-to-day running of a NIHR-funded research programme, OSMOSIS - aiming to co-produce resources and toolkits to improve the support available to family
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Research Fellow - OSMOSIS research programme Apply online Job number SHMS00480 School / Service School of Health & Medical Sciences Department Nursing Location Myddelton Street Building Contract
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computational, statistical and social data science approaches to expand knowledge on gender inequalities in digital connectivity, as well as the impacts of digital gender inequalities on social, demographic, and
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the Medical Research Council. The Research Fellow will be using Natural Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of
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development of a newepilepsy research project jointly run by King’s College London and Swansea University and funded by the Medical Research Council. The Research Fellow will be using Natural Language
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are looking for a talented Postdoctoral Research Fellow to join the RADAR-SIGN-BRIDGE project – an exciting initiative to develop privacy-preserving radar technology for British Sign Language (BSL) recognition