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partnership between Monash University (Australia) and the University of Bayreuth (Germany). Designed to train the next generation of global research leaders, the program enables candidates to conduct cutting
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evolution, chemistry and morphology. This project will investigate how machine learning can learn physically meaningful representations directly from these data and help understand how materials evolve during
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phase transformations, reduction pathways and microstructure evolution interact during the conversion of iron oxides to metallic iron. Particular emphasis will be placed on how temperature, gas atmosphere
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research themes including metallurgy, biomaterials, polymer chemistry and processing, and advanced materials. The Opportunity Applications are sought from outstanding candidates for PhD study in
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are seeking a PhD candidate to develop advanced in situ X-ray characterisation and machine-learning-enabled processing intelligence for green metals transformation. The project will focus on capturing time