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literacy, including proficiency in Microsoft Office and Google applications and experience with content or record management; familiarity with CRM, ERP systems and other business systems is highly desirable
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the area of end-to-end modular autonomous driving using computer vison and deep learning methods. This includes developing an efficient and interpretable image processing, vision-based perception and
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vision and pattern recognition methods, will be utilized to automate the process of fingertip detection. These methods will be trained to learn patterns from fingertip features and detect them using object
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Project Description Recent advances in mixed reality (MR) technology, which seamlessly blend the physical environment with computer-generated content around the user, have reduced the barriers
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encoded in computer software and can be used as decision support systems (DSS). These may be used by decision-makers with different domains of expertise than the analysts who built the DSS system. Therefore
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information in the spatial context of the task at hand. To achieve this the computer guidance system needs to be aware of the environment through a rich digital-twin model that is kept up-to-date in the face
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opportunities for people with disabilities. Required knowledge Required knowledge A good knowledge of human-computer interaction is required. The ability and skills to work with people with a range of
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, computer games) and a wide variety of solution methods have been proposed. Once a plan is computed, execution proceeds under the supervision of a human operator who is free to modify and adjust the plan
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given to students specialising in Electrical and Computer Systems Engineering. Benefits $10,000 per annum for up to two years. Number offered Two scholarships available at any time. Selection criteria
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. Dowe (1999a). Minimum Message Length and Kolmogorov Complexity, Computer Journal (special issue on Kolmogorov complexity), Vol. 42, No. 4, pp270-283 Wallace, C.S. and D.L. Dowe (2000). MML clustering