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academic career development through the enhancement of learning and teaching expertise, and access to teaching development opportunities under the supervision of established academic colleagues. To make good
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teach through advanced Masters programmes that cater to graduates across the broad spectrum of built environment professions. We set high standards for our students and expect great things from them
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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, to deliver a
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and teamworking within work. Desirable CriteriaExperience of: Programming in Python or Matlab Machine learning Analysis of sleep graphoelements (spindles and slow oscillations) Proven ability to work