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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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. 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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PhD Scholarship - Novel methods to enhance the use of routinely collected linked data for the evaluation of government policies related to healthy ageing Job No.: 691415 Location: Frankston
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leading clinicians and researchers tackling real‑world challenges in critical care, data innovation, AI and advanced analytics. We are seeking a talented Data Scientist / Clinical Data Engineer
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for predicting resource demand and optimizing allocations. Skills Gained: Students will work with real-time data analytics, reinforcement learning, and predictive modeling to create efficient resource utilization
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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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Doctor of Philosophy (PhD) on Phase Transformations in Advanced Steel Design Scholarship Opportunities at Faculty of Engineering Job No: 685997 Location: Clayton campus Employment Type: Full-time
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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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Levin Kuhlmann Research area Machine Learning We are seeking a highly motivated and innovative PhD student interested in exploring the opportunities for using AI to enhance personalisation of services and
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information that is encoded in the x-ray wavefield as it passes through the sample. My research aims to tap into the wavefield phase to reveal weakly-attenuating objects like the lungs that are almost invisible