158 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions at Cardiff University in United Kingdom
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to MPhil and PhD qualifications. For more information on the School please visit its website: http://www.cardiff.ac.uk/computer-science This position, which is to cover a period of secondment, is full-time
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. Further details of the School's activities may be found on our home page: http://www.cardiff.ac.uk/socsi Job Category Academic - Research
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finance colleagues located in the College of Physical Sciences and Engineering. You will be primarily based in Abacws (https://www.cardiff.ac.uk/campus-developments/projects/abacws), our brand new
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-operative operating across Wales, delivering supported living and domiciliary care services to adults with learning disabilities. As a values-driven organisation, the voice and choices of the people Cartrefi
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to appoint an outstanding candidate (Lecturer Grade 6) in politics with the ability to teach existing modules covering comparative politics, research methods and UK Governance. The successful candidate will
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direct engagement with a wide range of industrial, government and commercial organisations such as the NHS, Hewlett Packard and the Office for National Statistics. For further information visit: http
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annum (Grade 6) https://www.cardiff.ac.uk/jobs/what-we-can-offer/financial-benefits/pay-scales Job ref: 21142BR For informal enquiries about the post please contact Sam Ladak (LadakS@cardiff.ac.uk
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the Division of Infection and Immunity within the School of Medicine, Cardiff University, based at Heath Park Campus. This School of Medicine post will be within the Gallimore Godkin lab (https
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post holder will play a leading role in the analysis of large and complex genetic and electronic health records datasets with a range of Bioinformatics tools, Statistical and Machine Learning approaches
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dedicated to finding creative solutions and have a genuine curiosity and enthusiasm to support world-class research in an interdisciplinary team. The project focuses on understanding the language learning