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on disadvantaged ones. You will work with top researchers in data science (UTS) and social sciences (WSU and ANU) to develop statistical machine learning solutions for social good. This 3.5-year PhD project focuses
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. Through the application of innovative humanities and social science research, incorporating the knowledge of academics from a broad range of interrelated disciplines, we are at the cutting edge
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for individuals motivated to contribute effectively to collaborative research. You will also have: A postgraduate degree (Honours, Masters or doctoral degree) in behavioural or social sciences or a related
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distributing communication materials, coordinating social media accounts, supporting internal and external event delivery and helping with the execution of external campaigns. To be successful in this position
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Location: Parkville Role type: Part-time, 0.2 FTE; Fixed-term for 1.5 years (until 31t December 2025) Faculty: Faculty of Science School: School of Mathematics and Statistics Salary: Level A.2
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Researcher: min. FTE: 0.1 max. FTE 0.15) Faculty: Faculty of Engineering and Information Technology Department/School: School of Computing and Information Systems Salary: Level A.2 – $88,228 per annum, pro
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, creativity, tenacity and resilience • Alignment with our purpose and values Student type Current Students Faculty Centre for Aboriginal Studies Faculty of Business and Law Faculty of Health Sciences Faculty
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Studies Faculty of Business and Law Faculty of Health Sciences Faculty of Humanities Faculty of Science & Engineering Science courses Engineering courses Western Australian School of Mines (WASM) Course
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Students Future Students Faculty Centre for Aboriginal Studies Faculty of Business and Law Faculty of Health Sciences Faculty of Humanities Faculty of Science & Engineering Science courses Engineering
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the modern world. Through the application of innovative humanities and social science research, incorporating the knowledge of academics from a broad range of interrelated disciplines, we are at the cutting