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Field
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support for the lab Job Requirements: Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, or related field Knowledge and experience in world model, computer vision and deep learning
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imaging datasets, electrophysiology datasets or video data) is highly desirable. Proficiency in popular deep learning, computer vision and/or user-interface software frameworks (such as Pytorch, TensorFlow
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-quality, client-centred services, information resources and learning spaces that underpin world-class research and transformative education. In partnership with academics and other university service
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procedural imaging. Assist with patient transport, room turnover, contrast and supply preparation, and coordination activities that support exam cycle time and access goals. Apply workflow efficiencies learned
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, collate processed images and sequence of acquisition and label appropriately. Schedule patients for procedures; assist with clerical functions. Charge MR procedures and supplies in EHR Load and operate
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, adapting or evaluating machine-learning or deep-learning models. You should also have experience of organising datasets, conducting computational experiments and interpreting quantitative results. Working
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picture Strong organisational skills and a proactive, delivery-focused approach Confidence to challenge existing practices constructively and drive improvement High levels of integrity, professionalism, and
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to gain deep, publishable experience before a PhD or industrial R&D career. About the Person The successful candidate must have, and your application should clearly demonstrate that you meet the following
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to the development of privacy-preserving indoor localization methods using multi-modal deep learning, the design of wearable multi-sensor navigation devices, and the creation of datasets for indoor trajectory
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to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity