357 data-"https:" "https:" "https:" "https:" "Simons Foundation" positions at Monash University
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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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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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developing research proposals, advising researchers on funding opportunities, and managing internal grant programs. You will prepare high-quality documentation, maintain research information systems, and
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demonstrate strong analytical and problem-solving capabilities, alongside well-developed written and verbal communication skills to engage effectively with diverse stakeholders. High computer literacy
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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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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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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
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Minimum Message Length (MML) is an elegant information-theoretic framework for statistical inference and model selection developed by Chris Wallace and colleagues. The fundamental insight of MML is