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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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What you'll receive The CSIRO Industry PhD Program (iPhD) is a four-year research training program, focusing on applied research that benefits industry by solving real-world challenges. It aims
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addition to meeting the eligibility requirements of the CSIRO Industry PhD Program. The university undertakes student eligibility checking against university PhD admission criteria. To be eligible for a CSIRO Industry
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behaviour across; (3) a qualitative investigation of job customisation and retention mechanisms using interviews and workplace observation; and (4) a mixed-methods synthesis producing a transferable, policy
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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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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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transformation, impurity evolution, and microstructure development. The candidate will use advanced in situ X-ray methods, including diffraction, scattering, spectroscopy, imaging, and complementary multimodal
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modelling astrophysical phenomena. The PhD project will focus on developing theoretical methods to generate accurate data to meet this demand. The student will gain expertise in high-performance computational
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rate, pro-rata) About the Monash–Bayreuth Joint PhD Program The Doctor of Philosophy (Monash – Bayreuth) is an elite, international double-degree doctoral program delivered through a collaborative