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/Prof Linda Corrin, Asst Prof Yizhou Fan, Adj/Prof Rafael Ferreira Leite de Mello, and A/Prof Lan Yang. They will be based at the Centre of Learning Analytics at Monash. The PhD 1 project will focus
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Data is shaping our future, as industries everywhere rely on expert data analysts to make smarter decisions. With a degree in analytics, you’ll learn to approach complex problems, spot trends, and
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modelling astrophysical phenomena. The PhD project will focus on developing theoretical methods to generate accurate data to meet this demand. The student will gain expertise in high-performance computational
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Overview This project proposes a novel quantum-enhanced learning analytics framework for higher education, focusing on early identification of at-risk students and optimisation of intervention
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to perform in-depth and critical data analyses and, where relevant, data modelling. Ideal candidates will possess: Completion or near completion of a PhD in environmental chemistry, analytical chemistry
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About This Opportunity Step into a pivotal governance role where your expertise will shape the University’s commitment to transparency, accountability and responsible information management. As the Right
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Coordinator supports the Data Analytics Specialist – Web in delivering web and mobile analytics, tagging, and tracking to enable accurate channel measurement and attribution. This role plays a key part in
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here: https://www.flinders.edu.au/study/apply/apply-research-degree/how-to-apply By lodging this separate application, applicants acknowledge: The ‘Supervisor confirmation’ must refer to the application
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 17 days ago
to 2 years) Position Description and Selection Criteria: Clinical Data Coordinator_ANUO6_PD_PEWER.pdf The Position The Clinical Hub for Interventional Research (CHOIR) is located within the John Curtin
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measurements in particle physics. Many of my projects are informed directly by current measurements, e.g. addressing new or unexpected features seen in the data. Others focus on improving the formal accuracy