132 machine-learning-"https:"-"https:"-"https:"-"UCL"-"UCL" positions at Cardiff University
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stakeholders in the School and Student Futures to recommend clear processes enabling the delivery of successful placement and experiential learning activities that meet learning outcomes and professional
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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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workshops highlighting the benefits of work experience Undertake a variety of administrative duties to support the department Instruct and guide other employees across the University on work experience
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Advert Research Associate Cardiff School of Engineering We are recruiting for a highly-motivated researcher to work as part of a team developing advanced computer simulations of journal bearings in
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and Learning Team in delivering a professional service to the School in relation to the student experience of our undergraduate, postgraduate taught and professional programmes. You will manage the day
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applying advanced image processing techniques, such as compressed sensing and regularisation methods --- OR --- Designing, implementing, and testing advanced deep learning (/ machine learning / artificial
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of specialist/bespoke equipment and apparatus using various mechanical workshop machinery and techniques. • Operate, maintain, service and adjust workshop machinery such as lathes and milling machines
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development opportunity in a role which focuses on the support and development of teaching and learning activities. Working alongside our other Administrative Officers, you will be responsible for providing
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; are responsive to the changing needs of University staff, students and those of our partner NHS Health Board/Trusts support the University’s teaching, learning and research programmes; support the University’s
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Sciences at Cardiff University. We pride ourselves on providing a dynamic and stimulating learning environment informed by our excellent clinical and basic science research. We are particularly keen to