626 phd-rehabilitation-engineering-computer-science positions at Monash University in Australia
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and capabilities as the Graduate Business Services Officers. The Graduate Business Services Program is conducted over an 18-month period with graduates gaining experience through three key areas within
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Ability to work independently and collaboratively within an interdisciplinary team Excellent organisational, communication, and interpersonal skills Advanced computer skills, including Microsoft Office and
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of Machine Learning (ML) models across large-scale distributed systems. Leveraging advanced AI and distributed computing strategies, this project focuses on deploying ML models on real-world distributed
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be principally engaged in program design, development and delivery (including teaching and assessment) that responds to industry needs. As the successful candidate you will be responsible
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operators for these notions. Over the past fifty years, such non-classical logics have proved vital in computer science and logic-based artificial intelligence: after all, any intelligent agent must be able
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catastrophically so. This PhD will develop technologies for addressing this serious problem, building upon our groundbreaking research into the problem . Required knowledge A solid grounding in machine learning
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This PhD project will investigate how existing book contents (text and graphics/animations) can be automatically translated into accessible eBook formats with minimum human intervention. It will be
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to access leadership and community engagement opportunities and to support the development of emerging engineering leaders to encourage these talented individuals to enter the mining industry upon completion
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Master of Commerce Scholarship Sir John Monash Fee Scholarship The Master of Commerce is a research-oriented programme preparing students for a PhD and an academic career. Offered as part of
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and evaluate our approaches on a range of computational sustainability case studies from the domain of conservation of biodiversity, natural resource management and behavioural ecology. Relevant