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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
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undertaking a PhD in the area of road safety for children and/or active transport; have submitted an application for this scholarship prior to the application deadline (11:59 Brisbane time, 31st August, 2025
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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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This scholarship is funded by the ARC Training Centre for Battery Recycling to support a full-time PhD student who wishes to undertake research in the field of battery recycling: Project 7.1
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These supplementary scholarships (top-ups) are funded by the Australian Research Council to support 2 full-time PhD students who wish to undertake research in the field of battery recycling: Project
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Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling
Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling Job No.: 683222 Location: Clayton campus Employment Type: Full-time Duration: 3.5 to 4-year fixed
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requirements for a Doctor of Philosophy (PhD) at QUT, including any English language requirements for international students. You must also enrol as a full-time, internal student. Applicants will be assessed
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PhD. The duration includes an extension of up to six months (PhD) if approved for your candidature. This is the full-time, tax exempt rate which will index annually. You will also receive a top-up to
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PhD. The duration includes an extension of up to six months (PhD) if approved for your candidature. This is the full-time, tax exempt rate which will index annually. If the PhD is undertaken part-time
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Futures Institute are seeking motivated and qualified candidates for up to 15 fully-funded PhD scholarship. The preferred candidate should have strong programming and data science abilities, with