201 linked-data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Open-Polytechnic" PhD positions in Australia
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. Novel Adversarial Machine Learning algorithms for structured data will be proposed. The algorithms will be further extended to graph-structured data. Applications of AML will also be investigated to
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. Novel Adversarial Machine Learning algorithms for structured data will be proposed. The algorithms will be further extended to graph-structured data. Applications of AML will also be investigated to
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Australian National University | Canberra, Australian Capital Territory | Australia | about 22 hours ago
learning tools linked to sensor data; (2) characterizing diverse water resource interests, including monetary (e.g., crop production) and non-monetary (e.g., environmental and cultural flows), and tracking
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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/learning
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opportunities working jointly at Flinders University Caring Futures Institute and the South Australian Health and Medical Research Institute (SAHMRI). Working with data from the unique Registry of Senior
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question will be developed with the student and could focus on publishing, peer review, research funding, scientific careers, collaboration, or the norms governing AI use. Projects may also use data from
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Website https://garvan.org.au/ Telephone 0401137309 Location 384 Victoria Street Darlinghurst New South Wales 2010 Australia Share this job Facebook Twitter LinkedIn Apply on website (This will open
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loading strategies for managing highly-irregular flows of data from many sources. Develop approaches to model the performance of the aforementioned event-triggered systems, and to use these models to
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such as biofilm-forming bacteria and fungi. The candidate will have the opportunity to undertake a 60-day industry-linked internship to further develop their skillset and elevate translational potential
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simulation techniques, as well as available data from scientific publications, citations, and science career trajectories. The goal is to design better incentives for scientists to produce their best work