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PhD Scholarship – Modelling the social and political drivers of net zero transitions Job No.: 670767 Location: Clayton campus Employment Type: Full-time Duration: 3.5-year fixed-term appointment
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Understanding factors related to student retention and experience in physics and astrophysics major units. Using quantitative (surveys) and qualitative data (interviews with students) this project aims to explore who takes physics and astrophysics major units, why they pursue them, and what...
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challenging for clinicians and pregnant women. Digital health records, advances in big data, machine learning and artificial intelligence methodologies, and novel data visualisation capabilities have opened up
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to uncover the role of structure in the glass transition and how the disordered structure of a glass gives rise to unique glass behaviour such as ageing and brittle mechanical failure. Unlike crystals which
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I am an experimental particle physicist and I specialise in the study of particles containing the beauty and charm quarks. My research aims to help improve our understanding our universe by comparing our experimental observations to predictions made using the Standard Model of Particle...
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organic nanomaterials for future electronics, optoelectronics and spintronics" "Light-transformed materials" "Theoretical and numerical modelling of the electronic structure of functional low-dimensional
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I am an ARC Future (former DECRA) Fellow and lead the Structured Nanophotonics Group at Monash University. My research in nanophotonics explores the full potential and multi-dimensional nature
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of Excellence for Future Low-Energy Electronics Technologies. I have projects available within the following areas, all of which can be tailored to either honours or PhD level. "Quantum impurities in quantum
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in conventional imaging, and to access a complementary ‘dark-field’ signal that originates from tiny sample structures. We do this by designing and implementing novel experimental set-ups and
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they bond in materials, but also develop transferable skills in scientific computing, data analysis and visualisation. "Machine learning for atomic-scale structure determination in thick nanostructures" (with