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, reduce resource waste, and create scalable mental health interventions, advancing national sustainability and education priorities. Value • Stipend of AUD $47,020 • Maximum period of tenure of an award is
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proposed principal supervisor, and copy the link to this scholarship web page into question two of the financial details section. About the scholarship This project forms part of an NHMRC-funded Centre
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, supported by the Monash e-Research Centre, for high-performance transport and land use modelling. World-class transport modelling and simulation platforms (Driving Simulator, Data Visualisation Lab
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your EOI, nominate Dr Steph Hutchison as your proposed principal supervisor, and copy the link to this scholarship website into question 2 of the Financial details section. About the scholarship
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recycling: Project 1 (2 PhD students): Cost-Efficient Direct Recycling for Metal Oxide Cathode Materials – These projects focus on developing low-cost, scalable strategies for the direct recycling and
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, especially in ultracold quantum gases or condensed matter theory Proven analytical, computational, and modelling skills Experience with numerical simulations of quantum or many-body systems A deep curiosity
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proposed principal supervisor, and copy the link to this scholarship website into question 2 of the financial details section. About the scholarship This project investigates how 21st-century media changes
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Scholarship Gilbert Rigg Scholarship Application is required. Check eligibility Key scholarship details Application status Open for applications Applications open 29 Aug 2025 Applications close 28 Oct 2025 Benefit amount Up to $182,000 Eligible study level Graduate research Eligible student...
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is pioneering the development of a SaaS platform based at LotFourteen that leverages AI to help homeowners find the best balance in design and material selection for building resilient homes
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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