108 machine-learning-"https:"-"https:"-"https:" Fellowship research jobs in Australia
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. Base salary range: Level B, $118,150 – $139,812 p.a. plus 17% superannuation. About the area The School of Social Sciences offers a rich learning and research environment spanning social and cultural
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: Additional 3 days of leave over the Christmas Period Access to lifelong learning and career development Discounts and entitlements Affordable on-campus parking Who you are You have a PhD in a discipline
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Intelligence or Machine Learning, with demonstrable analytical skills. Excellent research record evidenced by first-author publications in strong international journals and conferences. Proven experience in
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comprehensive courses across two Monash campuses – Clayton and Peninsula. Our high-quality tertiary degrees are delivered in a vibrant and supportive learning environment to equip students for a rewarding career
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learning by 2028. Our strategic research purpose is to create life-changing and world-leading research for the wellbeing of our people, place and planet. About the Fellowship: Established in 2025 by the Vice
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health and caring in the world through an exceptional student learning experience. At the College, our research mission is about co-creating new knowledge which promotes wellbeing, and better care and
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recognition for quality research outputs in the field of biological mathematics. Demonstrated mathematics and computer programming skills with experience in modelling infectious disease dynamics, population
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students or junior staff, alongside strong computer literacy and a commitment to service excellence. This position has been designated for Aboriginal and Torres Strait Islander people only under
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the successful applicant. Position description: PD - Research Fellow (522889).pdf To learn more about this opportunity, please contact Professor Nik Callow at Nik.callow@uwa.edu.au How to apply Please apply
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. The Research Fellow will contribute to the development of an implementation science evidence-base to support the transferability of this learning for adaptation to other settings. The successful applicant would