454 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" Fellowship positions in United Kingdom
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which overall purpose is to accelerate transformative advances in lymphatic medicine. The successful applicant will be based at City St George’s University London (Tooting Campus) working in
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demonstrated expertise including a PhD in a relevant field (STS, philosophy/ethics, social scienc e, climate science, risk or natural hazards), and (at Grade 8) significant postdoctoral or equivalent experience
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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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Strong communications skills as this post will be dealing with a wide range of colleagues For further information about this position and to apply, visit http://jobs.sgul.ac.uk . St George’s School
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Section), Main Administration Building, The University of the West Indies, St. Augustine, Trinidad and Tobago, W.I. via e-mail: STA-HRApplications@uwi.edu . Two (2) referees (one of whom should be from your
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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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downloaded from the College website at https://www.st-hildas.ox.ac.uk/vacancies , or obtained from the Academic Registrar, St Hilda’s College, Oxford OX4 1DY (rebekah.unwin@st-hildas.ox.ac.uk ).
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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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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