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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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PhD Scholarship (iPhD) Program is an industry-focused, applied research scholarship and training program that brings together an industry partner, the university and CSIRO. You will undertake a co
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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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Status: Closed Applications open: 3/07/2024 Applications close: 3/10/2024 View printable version [.pdf] About this scholarship Description/Applicant information CSIRO's Industry PhD (iPhD) program
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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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PhD scholarship opportunity: Bias in generative AI-driven decision systems Job No.: 680086 Location: Caulfield campus (with possible collaborations at the Clayton campus as needed) Employment Type
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We are seeking an outstanding candidate for a PhD project as part of a larger Australian Research Council DECRA Fellowship entitled ‘Tackling the consumption of sexual violence on screen’, led by
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PhD Opportunity This project will involve epidemiologic analysis of Flu-Tracking to explore how symptoms of acute respiratory infection have changed over time, who is most impacted, and where
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Roentgen’s Nobel Prize-winning discovery of X-rays enabled us to non-destructively image inside the body, birthing medical diagnostic imaging and revolutionising materials characterisation. Absorption of X-rays in an object provides conventional X-ray image contrast, but absorption of this...
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modelling astrophysical phenomena. The PhD project will focus on developing theoretical methods to generate accurate data to meet this demand. The student will gain expertise in high-performance computational