136 machine-learning-"https:"-"https:"-"https:"-"https:"-"Ulster-University" positions at Cardiff University
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and Time Frequency) iv. Machine learning v. Analysis of sleep elements (like spindles or Sos) Knowledge of in the contemporary literature relating to at least two of the above areas. Proven ability
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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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and those of our partner NHS Health Board/Trusts; support the University’s teaching, learning and research programmes; support the University’s “Our Future, Together” strategy. You will engage and
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- 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 aerospace fuel
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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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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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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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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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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 receive
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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