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PhD Scholarship A PhD scholarship as part of an Australian Research Council Discovery Early Career Researcher Award. The PhD student will be part of a leading research team to investigate how
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Status: Closed Applications open: 18/05/2025 Applications close: 9/06/2025 View printable version [.pdf] About this scholarship Description/Applicant information A PhD scholarship in
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supergiant stars right before the explosion Searching different astrophysical channels that produce r-process elements Connecting the properties of long-duration gamma-ray bursts and associated supernovae web
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focus on quantum channel discrimination for high-resolution spectroscopy and AC field sensing. The project aims to develop theoretical frameworks for distinguishing closely related quantum processes
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frameworks for distinguishing closely related quantum processes that arise in light-matter interactions, and to use these frameworks to extract fine spectral or temporal information from weak or structured
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PhD Opportunity - Indigenous (Energy) Job No.: 685291 Faculty: Faculty of Information Technology, Monash Business School and Faculty of Engineering Location: Caulfield or Clayton campuses Duration
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, Australia and New Zealand. PhD in History, University of Newcastle Australia This PhD research will be part of a larger Australian Research Council funded project about polio’s history in Australia between
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Emergency and Business Resilience Preparing to stay safe, together. The Emergency and Business Resilience (E&BR) team is responsible for leading administration, coordination, and management of Emergency Management (EM), Business Continuity Management (BCM) and Critical Incident Management (CIM)...
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to be unconventional. I have projects available within the following research areas (at both Honours or PhD level): "Excitons and excitonic superfluidity in monolayer semiconductors" "Interplay of Dirac
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for