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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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the creation of robust data sources that support the team’s analytical, modelling, and reporting needs. The ideal candidate will bring a strong educational background or substantial relevant skills and
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project will focus on innovating feedback analytics design using theory-driven and user-centred approaches. Apart from interest in applying theories to understand learning data and passion for solving
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In this project, we aim to pioneer foundational models specifically designed for time series data—a critical step forward in handling vast and complex temporal datasets generated across domains like
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In the big-data era, the proliferation of data and the widespread adoption of data analytics have made data literacy a requisite skill for all professions, not just specialist data scientists
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Contextual Data Analytics (ICDA) as a method to address contextual analysis challenges by bringing rich contextual information to the analyst’s workspace. Despite the technological capability to support ICDA
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them The Opportunity Reporting to the Senior Manager, Academic Services and Analytics (Curriculum Data Management), the Adviser, Curriculum Data Management plays a pivotal role in ensuring timely and
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for the role, as determined by the University. Enquiries: Bobby Kaniyamkudy Pappachan, Deputy Team Lead Data Analytics, Bobby.KPappachan@monash.edu Position Description: Senior Data Engineer Applications Close
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Lecturer/Senior Lecturer in Analytical Geochemistry/Petrology Job No.: 679581 Location: Clayton campus Employment Type: Full-time Duration: Continuing appointment Remuneration: $118,974 - $141,283
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Research Fellow in Temporal Analytics Job No.: 685774 Location: Clayton campus Employment Type: Full-time Duration: 5-year fixed-term appointment (until 5 October 2030) Remuneration: $118,974