635 phd-position-computer-science-"IMPRS-ML"-"IMPRS-ML" positions at Monash University
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to undertake a full-time PhD, Masters by coursework or Masters by research that is in a field that contributes to the Foundation's focus areas of technology and innovation, strengthening Australia-Asia ties
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Cybersecurity is an interdisciplinary field. There is an urgent need to build up talent in human factors in cybersecurity. This PhD will provide the candidate with a unique pathway into industry
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What makes a machine conscious? This PhD would be at the intersection of Philosophy, AI and neuroscience. You would study the latest neuroscience based theories about how consciousness emerges in
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AI is now trending, and impacting diverse application domains beyond IT, from education (chatGPT) to natural sciences (protein analysis) to social media. This PhD research focuses on the fusing AI
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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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medicinal chemistry will be highly regarded. About Monash University At Monash , work feels different. There’s a sense of belonging, from contributing to something groundbreaking – a place where great things
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into effective technical solutions. Ensuring compliance with Monash University's technical, operational, and security standards across all systems. To excel in this role, you should possess: A degree in Computer Science
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Sciences at Monash Health, +61 3 (8572 2906) Position Description: Resource & Operations Officer Applications Close: Tuesday 30 September 2025, 11:55pm AEST Supporting a diverse workforce
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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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Dowe, 1999a) ensures that - at least in principle, given enough search time - MML can infer any underlying computable model in a data-set. A consequence of this is that we can (e.g.) put latent factor