685 computer-science-programming-languages-"St"-"ST" positions at Monash University in Australia
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, manage reporting and grading processes, maintain accurate records, and collaborate with academic staff to strengthen partnerships and support program development. As the successful candidate, you will
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package should be prioritised are surprisingly difficult computational tasks. State-of-the-art high-performance algorithms are used to calculate routes for the vehicles in order to minimise costs and
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The world is dynamic, in constant flux. However, machine learning typically learns static models from historical data. As the world changes, these models decline in performance, sometimes catastrophically so. This PhD will develop technologies for addressing this serious problem, building upon...
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testing approaches that can be used to verify that machine learning models are not biased. Required knowledge Software engineering, software testing, statistics, machine learning
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Academic achievement and need. The merit of the proposed work program in the seriously disadvantaged community (as determined by the selection committee). The quality of the written submission, in which
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Time series are an ever growing form of data, generated by numerous types of sensors and automated processes. However, machine learning and deep learning methods for analysing time series are much less advanced than for other forms of data. Our research is revolutionising the analysis of time...
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high quality program of services, systems or administrative processes in accordance with best practice and University policies, procedures and strategic priorities. The ideal candidate will bring a
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Minimum Message Length'', Springer (Link to the preface [and p vi, also here]) Wallace, C.S. and D.L. Dowe (1994b), Intrinsic classification by MML - the Snob program. Proc. 7th Australian Joint Conf
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assurance programs that enhance animal health, breeding performance, facility conditions and service delivery. The role prioritises safety by guiding hazard identification, incident response and continuous
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evaluation Applications of AI in biomedical research This project is suitable for students with an interest in genetics, computational biology, or data science. A background in statistics, computer science