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modern causal inference methods. Applicants should have completed an Honours degree, a four-year bachelor’s degree, or a master’s degree with excellent results and a research component in economics
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facilitate social inclusion and health outcomes. The PhD Project: This scholarship invites applicants to propose their own research program. Your proposal should build upon or take inspiration from Dr Em
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. The Opportunity This interdisciplinary PhD project between IT and the social sciences will explore the development of computational approaches for detecting and analysing misogynistic backlash ecosystems across
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the School of Social Sciences. The project will focus on the lived experience and impacts of displacement linked to a community impacted by climate-related disaster. Using primarily qualitative methods
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possess translational symmetry, the role of structure and symmetry in glasses is not established. This research programme involves the development of new x-ray and electron diffraction-based methods
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projects that involve data analysis, the application of artificial intelligence, the development of new detection techniques, and the exploration of new experimental methods through collaboration with our
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motivation Testing whether the system performs equitably across cultural and language groups Training spans intervention design, trial methodology, human-computer interaction, and applied machine learning
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at scale, including online misogyny and racist narratives, and threats against politically-active women. Adopting a cross-national comparative method, the candidate may, for instance, study narratives and/or
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the optical-to-radio wavelength range, from major surveys and space telescopes (e.g: Gaia, SDSS, JWST, Hubble, Roman, Rubin-LSST). These are analysed using advanced machine learning and data-driven methods. My
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transformation, impurity evolution, and microstructure development. The candidate will use advanced in situ X-ray methods, including diffraction, scattering, spectroscopy, imaging, and complementary multimodal