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thermal imaging data, and potential clinical and signal data, to create algorithms capable of recognizing key clinical activities and interventions. Building on recent advances in computer vision and
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of the following areas will be a merit. Advanced AI methods development in Python or any other relevant programming language Computer Vision and image analysis Handling of large dataset Qualifications Applicants
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the direction of A/Prof Claudia Szabo in the School of Computer and Mathematical Sciences at the University of Adelaide. The project is a collaboration with Defence Science and Technology Group, within the Combat
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Hellren Hansen, Ingun A.Mæhlum Qualifications This position requires: A master’s degree or equivalent in a relevant discipline (e.g. physics, geosciences, computer science, mathematics/statistics, geodesy
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affiliated with the Vascular Biology Research Group (VBRG) at the Faculty of Health Sciences. The position is for a period of four years. The nominal length of the PhD programme is three years. The fourth