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Science. We offer a range of undergraduate and postgraduate courses and have active research programs specifically oriented around Cyber Security and AI/Machine Learning. The discipline is based
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learning. For more information on our school go to the following link - https://www.unsw.edu.au/engineering/our-schools/computer-science-and-engineering Skills and Experience Relevant tertiary qualifications
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services or facilities to improve the research, teaching, and learning missions of the University. Any other duties as reasonably directed by your supervisor. About UQ As part of the UQ community, you will
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leading NCRIS capabilities and partners to deliver real-time insights and collaborative solutions for coastal resilience. Learn more at https://www.coastri.org.au/ Skills and Experience Degree with
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. It brings together leading NCRIS capabilities and partners to deliver real-time insights and collaborative solutions for coastal resilience. Learn more at https://www.coastri.org.au/ Skills and
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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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check-out process Supporting front desk operations Conducting room inspections and liaising with residents Managing bookings, maintenance coordination, and casual staff onboarding Learn more about UNSW
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engagement and learning initiatives. Working closely with the Program Leads, you will assist in organising public events, preparing communication materials, and supporting immersive education programs. Salary
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
and digital methods. Position overview We are interested in candidates with expertise in one or more of a broad range of computational methods including but not limited to: machine learning / AI
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models