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of computer vision and machine learning. Previous experience of real time systems development in Python, OpenCV, PyTorch and deep learning are essential. Experience of C/C++/C#, TensorFlow would be beneficial
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and programming skills and experience of computer vision and machine learning. Previous experience of real time systems development in Python, OpenCV, PyTorch and deep learning are essential. Experience
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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innovations in computer vision and computer graphics (segmentation, registration, tracking and visualisation) to enable real-time interaction for surgical planning and decision making. The project will provide
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is aimed at technical innovations in computer vision and computer graphics (segmentation, registration, tracking and visualisation) to enable real-time interaction for surgical planning and decision
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opportunities identified by the Hub. We are keen to recruit a researcher with expertise in digital health (i.e., health, psychology, human computer interaction, human factors, computer science or a cognate
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experience in the advanced use of Computer-Aided-Design and mesh based Computer Aided Engineering (i.e. FEA or CFD) software tools, A proven track record of using relevant techniques to carry out analyses
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discipline, Have, or be about to obtain, a relevant PhD in Mechanical, Aerospace Engineering, Mechatronics or closely related discipline. Demonstrable experience in the advanced use of Computer-Aided-Design
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researchers on 5G testbed operation, integration and performance testing. Job Requirements Bachelor’s, master's or Ph.D. in Electrical and Computer Engineering, Computer Science or related field. Solid
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offloading strategy via simulations and live demonstrations. Job Requirements A Ph.D degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical