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Machine Learning without Centralized Training Data”, https://ai.googleblog.com/2017/04/federated-learning-collaborative.html [2] “Learning with Privacy at Scale”, https://machinelearning.apple.com/research
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information on our practice-based PhD program, please see: https://sensilab.monash.edu/work-with-us/practice-based-phd/
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of everyday scientific practice [2]. We will use a combination of game theoretical models, AI and simulation techniques, as well as available data from scientific publications, citations, and science
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health-related field Experience with mixed methods research, systematic reviews & data analysis Strong communication and organisational skills Australian citizenship or permanent residency (If applicable
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Status: Open Applications open: 15/03/2022 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information Three PhD student scholarships
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development — core technologies for the next decade of AI-powered engineering. This is a collaborative research project with Atlassian. Check out some recent work: - https://www.atlassian.com/software/rovo-dev
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information. Charles Liu Director Cubic Promote T: 1 300 858 288 E: charlesliu@cubicpromote.com.au W: https://www.cubicpromote.com.au/scholarship Scholarships Email Alert Sign up now
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respects to their Elders past and present. View our vision towards reconciliation . Role highlights Leadership role reporting to the Chief Information Officer leading cyber security strategy for Australia’s
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St Lucia Campus About This Opportunity We’re looking for a talented Spatial/Geospatial Scientist to drive innovation in drone-based data pipelines and analysis. You’ll collaborate with leading e
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About the Opportunity The University of Queensland is seeking an experienced Chief Information Officer (CIO) to lead digital technology services for one of Australia’s most prominent teaching and