146 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at Cardiff University in United Kingdom
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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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will support PGR activities at both these locations. For more information on the School, please visit its website: https://www.cardiff.ac.uk/chemistry This position is available immediately on a part
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learn from. • To plan, organise and undertake new research projects, including administrative tasks such as the preparation of research ethics applications. • To support ongoing research considering
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, including sociology, policy studies, criminology, education and social work Further details of the School's activities may be found on our home page: http://www.cardiff.ac.uk/social-sciences The School
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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
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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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test). Essential Criteria Minimum of 5 GCSE’s Good communication skills. Ability to work within a team. Ability to conduct basic machine maintenance e.g. filter washing/change. Previous exposure
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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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post holder will play a leading role in the analysis of large and complex genetic and electronic health records datasets with a range of Statistical and Machine Learning approaches, whilst leading a
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advanced computer modelling (in silico), through robot driven testing of implanted knees (in vitro), to 3-dimensional X-ray imaging of moving patients (in vivo) with Machine Learning driven analysis