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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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work with Prof Declan O’Regan, in the Computational Cardiac Imaging Group, as part of a British Heart Foundation funded program of research on “Understanding the transition from health to disease through
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and Applied Sciences Department/Area Electrical Engineering/Computer Engineering/Computer Science Position Description Project Deep learning plays an essential role in the operation of an autonomous
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biology, plant-soil microbial interactions, or restoration ecology. Enquiries: Prof. Jaco Le Roux at jaco.leroux@mq.edu.au This position is open to international and domestic applicants. Applications Close
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problems in the health sciences, including fields such as healthcare informatics, movement and rehabilitation sciences, medical imaging, remote sensing, computer vision, mental health, data fusion
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(MASI)” involving four UK universities (Nottingham, Cardiff, Cambridge, and Birmingham) and join the Computational Materials Science group led by Prof. Elena Besley (https://ebesley.chem.nottingham.ac.uk
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The Computer Vision-Core Artificial Intelligence Research (Vision-CAIR ) group led by Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and Technology (KAUST) is
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-The-Shelf (COTS), all-digital radar systems linked to an array of ultra-stable, ultra-low phase noise oscillators. The project is part of the UK Quantum Technology Hub in Sensing, Imaging and Timing (QuSIT
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resources effectively Understanding of and ability to contribute to broader management/administration processes Contribute to the planning and organising of the research programme and/or specific research
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engineering, computer science, automation and robotics engineering, mathematics/physics or related field. Strong research experience or research publications records in AI-related (or interdisciplinary field