461 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" "St" Fellowship positions in United Kingdom
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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available at https://www.gov.uk/check-uk-visa or by contacting our HR Immigration Team on hrimmigration@st-andrews.ac.uk . At St Andrews, equality, diversity, and inclusion are central to who we are and form
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This post will advance the application of Machine Learning (ML) in weather forecasting and hydrological prediction. The Research Fellow will develop ML methods for postprocessing numerical ensemble weather
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the design, development, deployment and evaluation of NeoShield’s applied machine-learning systems, the machine-learning-driven Clinical Decision Support Algorithm for neonatal sepsis and the real-time ward
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of the History Faculty Board, (email: martin.conway@history.ox.ac.uk). If you would like to learn more about St Antony’s College, please contact the College Secretary, Lisa Driver Davidson (email
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to £43,805 per annum Apply by: 26/04/2026 Role Description We welcome applications from skilled, delivery-focused engineers to contribute to our successful railways-applied smart machines research programme
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-focused engineers to contribute to our successful railways-applied smart machines research programme. About the Role We are seeking a highly motivated and multiskilled Research Fellow with expertise in
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to £43,805 per annum We welcome applications from skilled, delivery-focused engineers to contribute to our successful railways-applied smart machines research programme. About the Role We are seeking a highly
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kate.o'donnell@glasgow.ac.uk) University of St Andrews – Prof. Frank Sullivan, Professor of Primary Care Medicine, (email fms20@st-andrews.ac.uk Posts are available for 1 year from 1 August 2026 to 31 July 2027
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second in the UK for research power and first in England. About the role The project will be carried out at the Department of Computer Science, in the Machine Intelligence Lab (https