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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
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, and drive continuous improvement. Deliver high-quality customer service through timely issue resolution and effective stakeholder engagement. Contribute to data analysis, reporting, governance
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excellence. Knowledge of student placement processes, data management and privacy and compliance requirements is essential alongside experience using student information systems and placement databases such as
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the financial pressures of study. Further, as a result of my scholarship, I have been able to purchase a new computer to assist in my studies. This improved my capacity to focus on my studies and
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Analytics at Monash, the support from this scholarship has empowered me to excel academically and focus on developing the skills necessary for a successful career in data analytics. It has also provided me
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ideas - and the people who discover them The Opportunity The Department of Data Science and Artificial Intelligence at Monash University is looking for a Lecturer or Senior Lecturer to contribute to our
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information about behavioural patterns, but scoring this manually is time consuming. For this reason, machine learning solutions have been developed to automate behavioural prediction [5-12]. DeepLabCut [5] is
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threatened species and ecosystems, and to control invasive species and diseases. This requires a step-change in the data and methods used to monitor and predict organism behaviours and ultimately shifts in
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to cloud-based machine learning services, on-device ML is privacy-friendly, of low latency, and can work offline. User data will remain at the mobile device for ML inference. Problems: In order to enable
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a collaborative research team using large-scale Australian data and modern statistical methods to produce credible evidence on these issues. The project provides an opportunity to contribute crucial