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- Learning Technologist The Cardiff Learning and Teaching Academy is offering an exciting opportunity to join its Digital Education Team. As part of a team of Digital Learning Professionals and Learning
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into the function of intracortical feedback pathways in learning and memory. The candidates should have a Postgraduate degree at PhD level (or nearing completion / submission) in the area of Neuroscience and an
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or more of the following research fields: Quantitative finance Neural Networks Financial Engineering and Risk modelling Wealth management, payment and lending AI/Machine Learning applications in financial
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explainable multi-modal deep learning models, in causal statistical models and in human-machine teaming and AI ethics. The successful candidate will need to be eligible for UK security clearance in principle
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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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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
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to model and simulate building energy systems. Use of machine learning techniques to forecast cooling demand. Proven ability to analyse complex information, including large datasets, and summarise
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demonstrate leadership qualities. Applicants should hold a postgraduate degree at PhD level in a related subject or possess relevant clinical expertise. Current registration with the Health and Care
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. Responsible to Professor Adam Edwards, Director of Learning and Teaching For an informal discussion about the role please contact Adam, EdwardsA2@cardiff.ac.uk. Tel +44 2920 874174 Cardiff University offers
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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