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systems. The fast growth, practical achievements and the overall success of modern approaches to AI guarantees that machine learning AI approaches will prevail as a generic computing paradigm, and will find
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collection, data wrangling, big data analytics, and the application of artificial intelligence and machine learning techniques. The role is focused on data and analytics related to development applications
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We have a range of potential research projects on offer in partnership with VIFM - https://www.vifm.org/ - looking at ML techniques in predicting forensic diagnoses / image analysis, across
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healthcare, finance, environmental monitoring, and beyond. While recent advancements in foundation models have shown tremendous success in NLP and computer vision, the unique characteristics of time series
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using financial and computer systems, including spreadsheets, databases and enterprise finance platforms. You communicate clearly and professionally, demonstrate initiative, and are committed
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that utilises our award-winning design system, GEM, showcasing the fantastic variety of learning opportunities and research initiatives that Macquarie University offers. Please note that this is NOT a technical
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the Clinic’s function as a teaching and research environment, contributing to student learning and ensuring alignment with the broader objectives of UNSW Medicine & Health. Skills & Experience Relevant tertiary
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proficient computer literacy with excellent skills in Microsoft Office applications. Ability to make sound judgements and work both independently and as part of a team. Demonstrated experience supporting and
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. This involves supporting the supervision of students during rural clinical placements, facilitating interprofessional learning opportunities during student placements, and enhancing support and education to both
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MML for well-behaved models, and has been successfully applied to diverse problems including hypothesis testing, clustering, and machine learning. Aim 1: Theoretical Investigation of MML Properties