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techniques such as Reinforcement Learning and Graph Theory. The goal is to curate a synthetic dataset that models the evolving structure and dynamics of illegal networks, taking into account factors like
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techniques such as Reinforcement Learning and Graph Theory. The goal is to curate a synthetic dataset that models the evolving structure and dynamics of illegal networks, taking into account factors like
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story, and at Macquarie University, that story informs how we invest in research, how we measure our performance, and how we present ourselves on the world stage. We're hiring for a Data Analysis
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(GNNs) or graph representation learning Self-supervised and transfer learning Mathematical foundations (linear algebra, probability, optimisation) Basic knowledge of biomedical data analysis (desirable) Learn more about minimum entry requirements .
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To support financial planning, management reporting and analysis across Macquarie University Health including providing support to senior members in the Finance Planning and Analysis team. Base
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Australian National University | Canberra, Australian Capital Territory | Australia | about 3 hours ago
The ANU Mathematical Sciences Institute is seeking to appoint up to two PhD candidates in geometric analysis. Position overviewThe candidates will be supported by scholarships funded through an
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Primary supervisor David Dowe Co-supervisors Paul Lasky Kendall Ackley Research area Data Science and Artificial Intelligence The recent discovery in 2015 of gravitational waves from colliding black holes and neutron stars has opened a new window on the Universe. Astrophysicists can now “see the...
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Primary supervisor David Dowe Co-supervisors Paul Lasky Kendall Ackley Research area Data Science and Artificial Intelligence The recent discovery in 2015 of gravitational waves from colliding black holes and neutron stars has opened a new window on the Universe. Astrophysicists can now “see the...
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heart malformation. High-throughput spatial temporal data have been recently generated with spatial transcriptomics technologies. Capitalising on these rich datasets, we aim to build a custom analysis
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Primary supervisor David Dowe Co-supervisors Michael Preuss Research area Machine Learning Metals are made of small crystals - i.e., atoms are arranged in a particular geometric arrangement, which are typically in the range of a few 10s of microns (0.01 mm). The arrangement of these crystals...