169 linked-data "https:" "https:" "https:" "https:" "https:" "https:" "Fields Institute" PhD positions in Australia
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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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Scholarship – About Ensuring the next generation of Indigenous psychologists trained in best practice (#BuildAnArmy) The Jilya Institute is developing the next generation of Indigenous psychologists
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Australian National University | Canberra, Australian Capital Territory | Australia | about 1 hour 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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Biomaterials for Antibiotic Potentiation. This exciting project will be within the Biomedical Nanoengineering Laboratory (Flinders Health and Medical Research Institute, FHMRI) under the principal
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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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Employer The Garvan Institute Location Darlinghurst, Sydney (AU) Salary $140,000 - $180,000 Closing date 22 Oct 2026 Website https://www.garvan.org.au/ View more categories View less categories
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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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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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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