147 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions at Cardiff University
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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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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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Advert Administrative Assistant An exciting opportunity has arisen to join the Centre for Social Care and Artificial intelligence Learning (SCALE) and School of Computer Science and Informatics
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attractive benefits to its employees, including 37 days of annual leave per annum and a proactive work-life balance policy. More information on what we can offer can be found here: https://www.cardiff.ac.uk
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community. Knowledge of basic machine learning principles. Additional Information Additional Information Should Welsh proficiency require improvement, intensive support/training can be provided. Project
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, with various start dates. If you have difficulty accessing a computer, please call 029 2087 6137. Benefits We offer a leading and rewarding staff benefits package: 32 days holiday per year plus 8 bank
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a lead in advising and delivering on space planning initiatives and project development across our student’s teaching and learning spaces and in places of work for our staff. Undertaking spot space
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computer and IT skills, Kinetics, Oracle, Microsoft Word, Excel, emails, including use of internet and online calendar. Level 3 Food Safety and Level 2 Health and Safety. Desirable CriteriaExperience
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. Willingness to learn complex statistical analyses of fMRI data (this might include analysis methods such as multivariate data analysis, machine learning or computational modelling) Desirable CriteriaExperience
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computer-based tools. To complete in-house MRI safety and operator training, then acquire structural and functional magnetic resonance imaging data on participants using a 3T MRI Scanner To complete in-house