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the development and implementation of the Living Systematic Review program as part of the National Allergy Centre of Excellence (NACE). This is a unique opportunity to shape national research in food
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involved in the design, execution and analysis of studies investigating the mechanisms and potential treatment of motor neuron disease. You will perform and oversee work relating to the development and use
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professional development opportunities. Fellowship holders will receive an annual bursary for two years and financial support to participate in ACSPRI courses and events . Student type Current Students
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) Density functional theory (desirable) Spectroelectrochemistry and vibrational spectroscopy (desirable) Proven commitment to proactively keeping up to date with discipline knowledge and developments
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Professor Jason Lee, successful candidates will conduct vital research in cancer epigenomics with the aim of developing novel biomarkers and therapeutics. Specifically, you will support the major project
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Technology (SET) This position plays a vital role in developing advanced theoretical tools and models for superconducting quantum materials research, contributing to leading-edge defence-related technologies
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University of Adelaide’s Australian Institute for Machine Learning (AIML) are actively interested in advancing leading research and development of AI). The now established Responsible AI Research (RAIR) Centre
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biomarker development, including translational challenges and regulatory considerations. Experience translating research into regulated environments, such as clinical assay development or industry
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of Mechanical and Mining Engineering, where innovation meets impact. As a key member of this dynamic team, you will develop cutting-edge computational models of two-phase flow in fractured media — ranging from
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Australian National University | Canberra, Australian Capital Territory | Australia | about 20 hours ago
at the John Curtin School of Medical Research (JCSMR), within the ANU College of Science and Medicine. This role will lead the development of advanced deep learning frameworks—including graph neural networks