281 algorithms-phd-"INSAIT---The-Institute-for-Computer-Science" PhD positions in Australia
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We invite applicants for a funded PhD that will aim to create a fully functional and commercially viable online Sustainable Eating Quiz. The food system generates about 35% of total global man-made
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; Monash University, Australia | North Adelaide Melbourne St, South Australia | Australia | about 6 hours ago
Centre for Health Economics, Monash University Centre for Health Economics, Monash Business School, Integrated PhD Program 2026 Location: Caulfield campus, Monash University, Melbourne, Australia
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applications for a fully funded PhD scholarship to work on a cutting-edge research project supported by the Australian Research Council. This project focuses on polarons—quasiparticles representing impurities in
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The Adelaide Graduate Research School (AGRS) and 2XE are partnering to create an internship opportunity for University of Adelaide PhD students, to contribute to the organisation's sustainable
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Position overview:We invite highly motivated candidates to apply for a PhD position in Seismology at James Cook University (JCU), one of Australia’s leading research institutions located in tropical
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PhD Scholarship - Movement Metrics for Physical Health Job No.: 682825 Location: Clayton Campus Employment Type: Full-time Duration: 3.5-year fixed-term appointment Remuneration: The successful
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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
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The National Industry PhD Program is an Australian Government initiative to enhance workforce mobility among graduate researchers, and to promote knowledge transfer between academia and industries
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for renewable fuel production. Reference notes can be found here . PhD Scholarship details Funding: $37,440 per annum (2025 rate) indexed annually. For a PhD candidate, the living allowance scholarship is for 3.5
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models