638 computer-programmer-"https:" "https:" "UNIS" "https:" "https:" "https:" "UNIV" positions at Monash University in Australia
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professional and innovative approach to individual program design and diligent and proactive supervision of the Fitness Centre. At Peninsula campus you will also be required to provide a high level of customer
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systems. The fast growth, practical achievements and the overall success of modern approaches to AI guarantees that machine learning AI approaches will prevail as a generic computing paradigm, and will find
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, please refer to 'How to apply for Monash Jobs '. Please address the following questions in your cover letter: How has your research program contributed to your discipline at a national or international
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data Reporting and Research Program (CORRP). Based at 553 St Kilda Road, this role contributes to a Commonwealth Government funded national clinical quality registry that monitors outcomes of procedures
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. Required knowledge Strong background in machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch
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interested in, please apply via our website and complete the online expression of interest form https://www.monash.edu/ research-ethics-and-integrity/ animal-ethics/accordion- content/accordion_1 For further
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closely with Monash researchers, faculties, funding bodies and industry to facilitate the University’s research objectives. It does this through an active program of identifying and developing funding
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compliance assurance program across the Monash Group, working in close collaboration with central portfolios, controlled entities and faculties to ensure that Monash complies with its regulatory and other
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classification'', Computer Journal, Vol 11, No 2, August 1968, pp 185-194 Wallace, C.S. and D.L. Dowe (1999a). Minimum Message Length and Kolmogorov Complexity, Computer Journal (special issue on Kolmogorov
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healthcare, finance, environmental monitoring, and beyond. While recent advancements in foundation models have shown tremendous success in NLP and computer vision, the unique characteristics of time series