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research, analytics and UX principles to improve key journeys and enrich digital content across Curtin's websites, creating experiences that empower users to progress with confidence, whether
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motivated, technically capable Planning Systems Analyst to join the Data Provisioning, Analytics & Governance team in the Planning, Data & Analytics Division. This role is ideal for someone who enjoys
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. If successful, you will join Dr. Roberto-Martinez Maldonado, Prof. Dragan Gasevic, and a strong team of academics, researchers and other students at the Centre of Learning Analytics at Monash University
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interested in data analytics, business strategy, or the digital creative industries, and provides practical experience in data collection, analysis, and applied industry research. Required knowledge R Packages
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your total salary package. Based at our St Lucia location About This Opportunity The Lead Data Engineer plays a pivotal role in delivering UQ’s advanced analytics and data platform capabilities
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University of New South Wales | Canberra, Australian Capital Territory | Australia | about 15 hours ago
control (e.g. Git), testing, debugging, and Agile methodologies Experience with data-driven applications and working with relational or non-relational databases Strong analytical and problem-solving skills
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diagnostics through to large‑scale public health programs. The position combines advanced analytical work with research leadership, collaboration across disciplines, and contribution to competitive funding
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). Familiarity with data and metadata standards used in environmental, ecological and biodiversity research. Strong analytical and problem‑solving skills, with intellectual curiosity and patience
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university or research setting is desirable. Well-developed analytical and problem-solving skills and experience using information systems, reporting tools and protocols to create meaningful reports is
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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