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in the translation of research into real-life products A desire to learn new skills in complementary disciplines. Candidates should have recently successfully passed an English language test Selection
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be used to combine these datasets while accounting for their different spatial scales, uncertainties and sampling frequencies. Machine-learning methods may also be explored for retrieval, bias
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applicants with a background or experience in: • Computational chemistry • Materials simulation • Scientific machine learning / AI • Molecular dynamics or DFT • Materials science or a related discipline
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University entry requirements Transferring to Swinburne Recognition of prior learning in the workplace Study abroad in Melbourne Opportunities for Indigenous future students Guaranteed pathways from TAFE
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with one of the following doctoral research projects. 1. AI-Aided Site Reconnaissance and Rapid Assessments for Settlement Upgrading How can spatial analytics, remote sensing, and machine learning models
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the alumni office. Stay in the know Learn how to set up your UniMelb account to access perks and discounts. UniMelb account log in Access your account to update your personal details and access benefits
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recognition Individual and group behaviour understanding Long-term behaviour prediction Multi-task learning and foundation models Zero-shot and open-set recognition Privacy-preserving AI using anonymised human
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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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practices in professional physics and students' engagement in these practices The role of agency in students learning physics practice A mixed-method, longitudinal study on factors related to retention in
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" "Machine-learning-based imaging processing" webpage For further details or alternative opportunities, please contact: [email protected].