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combination of multi-wavelength observational data with sophisticated simulations. I am a member of various collaborations, including Australia's OzGrav Centre of Excellence for Gravitational-wave Discovery
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of up to AU$50,291 per annum. Start Date: July-August 2025 Additional financial support is available through research and teaching assistance work. The Research Opportunity This PhD research opportunity
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, computational modelling, and data-driven alloy design to: Understand the mechanisms of local austenite-to-ferrite transformation in low-alloy steels; Develop frameworks to predict and control
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at Monash is multidisciplinary, spans multiple campuses globally and involves partnerships with industry and institutions worldwide. The Faculty is organised into three departments - Data Science & Artificial
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reimagined economic outcomes must be measured in novel ways Focusing on three critical sectors – energy, transport and water – and three key processes – standardising climate information, underwriting climate
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colleauges in the School, in the Monash Centre for Electron Microscopy (MCEM) and abroad, with the goal of extracting the maximum of scientific information. Other projects centre on image simulations that help
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candidates holding (or eligible to obtain) a valid student visa. Candidates with strong academic and research track records are particularly encouraged to apply. For further information, please follow the link
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support is available through research and teaching assistance work. Current opportunities As a candidate in the CHE Integrated PhD Program , you will receive rigorous training in advanced health economics
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electromagnetic signatures, primarily focussed on linking the data from these exciting experiments with our theoretical understanding of gravity and the most extreme regions of the Universe. I am a member of the
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climate economy in Australia (Dr Svenja Keele ) Communicating Data to Advance Community and Ecological Wellbeing (Prof. Libby Lester ) Making Futures Together: Designing and Testing Creative Methods