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project governance. All Grant applications are evaluated on merit. Student type Current Students Faculties and centres Faculty of Health Sciences Course type Higher Degree by Research Citizenship Australian
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I supervise a wide range of projects in gravitational-wave astronomy. This work is carried out within the Centre of Excellence for Gravitational-wave Discovery: OzGrav. As a member of my team, you will have the opportunity to interact with gravitational-wave researchers throughout Australia and...
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My primary areas of research activity are two fold: first, studing thermonuclear (X-ray) bursts from accreting neutron stars; and second, searches for optical counterparts of gravitational-wave events with the GOTO telescope network. Projects focussing on thermonuclear bursts will involve...
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My work focuses on experimental research in quantum sensing and quantum microscopy using the nitrogen-vacancy (NV) centre in diamond. In particular, we are interested in applying quantum sensing for examining and imaging the magnetic fields from exotic conducting materials (e.g. superconductors,...
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-class honours (H1) Bachelor’s degree or equivalent in the relevant research area (completed or near completion) have applied for admission to a PhD program at an Australian university or have completed
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All scholarship applications must include evidence of contact with the proposed senior supervisor. This should be uploaded as an additional document with your application. You must provide the names of academic staff who have agreed to supervise your proposed research in the relevant section of...
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AUD $10,000 AUD $10,000 Applications are now open. Applications are now open. 31/12/2023 31/12/2023 Five (5) scholarships available Five (5) scholarships available A first-class Honours Bachelor degree or Master degree with research component of 25% of a full-time academic year (or equivalent)...
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wavelengths. "Wobbling stars reveal their hidden companions: finding planets, stars, and black holes through astrometric motion" "The fundamental physics that governs starlight" "First science with the Sloan
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relevant discipline of engineering/science be an Australian citizen, New Zealand Citizen or an Australian permanent resident or an international student meeting the minimum English language requirements
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Machine Learning for Image Classification. Eligibility You must: We would like you to have: sound knowledge of machine learning, computer vision and image processing strong programming skills. How to apply