245 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Monash University
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drive transformation, operational efficiency, and data-informed decision-making. You will lead a specialist analytics and operations team to deliver high-quality, validated, decision-grade insights and
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foundation for analysis. In addition, various deep learning models will be proposed and implemented to explore their effectiveness in processing and interpreting the audio data. Finally, a comprehensive
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. Demonstrated leadership experience with the ability to lead, coach and coordinate teams to achieve operational objectives. Experience managing budgets, financial administration and reporting. High level computer
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infrastructure, public safety and smart environments. The successful candidate will be supervised by Dr Deval Mehta within the Department of Data Science & AI, Faculty of Information Technology, Monash University
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, which are some of the most numerous stars in the Universe. "Weighing stars using stellar vibrations: Asteroseismic masses of Red Giant Stars using space telescope data" "Using optical telescope
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. These positions will contribute to key research activities including data collection through surveys and interviews, data management and analysis using REDCap, manuscript preparation, conference presentations and
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) to support surgeons, operating room technicians, and other professionals in and around operating room activities. Particular areas that may be explored are: Immersive OR analytics: using XR to analyse data
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Privacy-Enhancing Technologies (PETs) are a set of cryptographic tools that allow information processing in a privacy-respecting manner. As an example, imagine we have a user, say Alice, who wants
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to real-life data. The goal is to generate new knowledge in the field of time series anomaly detection [1,2] through the invention of methods that effectively learn to generalise patterns of normal from
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must support causal queries about what would happen under intervention, generalise reliably to deployment contexts not present in training data, and expose its reasoning chain to inspection so that risk