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, established through a gift from philanthropist Judith Neilson AM. Together, the Chair and Fellow advance an internationally recognised program of research, teaching and public engagement focused on contemporary
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, sensing, and computing within a single unified network. These positions will involve advancing fundamental theories and the enabling technologies needed for simultaneous communication, sensing, computing
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across fields of nuclear physics, engineering design and/or materials science. The role reports to Associate Professor Patrick Burr and has no direct reports. Salary: Level A – AUD $113,911 to $121,838 per
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underpinning a new national screening program for type 1 diabetes in children Academic Level A from Base from $89,831p. a (Pro Rata) and Level B Base Salary from $127,436 p.a. (pro‑rata) + 17% superannuation
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Sciences at UWA. As the WA node of Plant SynBio Australia under Bioplatforms Australia and the NCRIS program, PSIC will serve as a hub for cutting-edge research capabilities in plant synthetic biology, and
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Disease Dynamics and Interventions group , the role focuses on developing and applying sophisticated mathematical, statistical and computational models to inform vaccination strategies for endemic
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 1 month ago
experience in: Radial velocity, stellar, and/or exoplanet spectroscopy studies; and/or astronomical instrumentation or observing programmes Machine learning in physical science, using Jax, PyTorch, and/or
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WA node of Plant SynBio Australia under Bioplatforms Australia and the NCRIS program, PSIC will serve as a hub for cutting-edge research capabilities in plant synthetic biology, and agricultural
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Sciences at UWA. As the WA node of Plant SynBio Australia under Bioplatforms Australia and the NCRIS program, PSIC will serve as a hub for cutting-edge research capabilities in plant synthetic biology, and
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seeking applicants with experience in: Radial velocity, stellar, and/or exoplanet spectroscopy studies; and/or astronomical instrumentation or observing programmes Machine learning in physical science