213 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of New South Wales
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with verifiable experience in longitudinal data analyses methods, structural equation modelling, network analysis, machine learning and/or adaptive trial design. Essential are outstanding academic
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Assistant will assist in promoting Work Integrated Learning (WIL) and Career Development Learning (CDL) initiatives to students, aiming to increase participation, and encourage engagement. The Role: Assist
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regression techniques. Develop and validate predictive models to identify factors associated with key mental health outcomes. Experience working with a range of computer systems and applications (such as R
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organisational skills and the ability to operate autonomously while demonstrating strong initiative and a proactive approach to driving process improvement. Advanced level of computer literacy, working with a
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deadlines. Well-developed interpersonal and written and verbal communication skills. Experience working with a range of computer systems and applications, including Microsoft Office applications. Demonstrated
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into the study if the role is extended Excellent computer skills with Microsoft Office with a proven aptitude for learning new software packages, accessing research publications and searching relevant databases
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. Why Your Role Matters: Special Collections is a high performing innovative unit, enriching research, teaching, learning, promotion & events across the Canberra Faculty, in support of the UNSW Strategy
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including: Hybrid/Flexible working arrangements Additional 3 days of leave over the Christmas Period Access to lifelong learning and career development Progressive HR practices Discounts and entitlements
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degree in statistics, biostatistics, epidemiology, pharmacoepidemiology or a related discipline, with relevant research experience. At least 5 years’ experience in the development of machine learning
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, and subject matter experts to identify training needs and develop scalable solutions (e-learning, workshops, coaching) Provide expert advice to senior leaders on change and training strategies