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Doctor of Philosophy (PhD) in Machine Learning for In Situ Materials Characterisation Job No.: 698995 Location: Clayton campus Employment Type: Full-time Graduate Research Degree: 3291 - Doctor
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PhD Scholarship Develop AI and machine learning models to guide real-time, personalised treatment of paediatric brain cancer using multiomics and clinical data, within the internationally
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PhD Scholarship Opportunity - Processing intelligence for green metals using in situ X-ray characterisation and machine learning Job No.: 693787 Location: Clayton campus Employment Type: Full-time
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. The research combines robotics, computer vision, artificial intelligence, machine learning, control systems, and medical robotics to solve one of the most challenging problems in modern automation. Project
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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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(fulltime) for Research Doctorate (PhD) studies Remuneration: The successful applicant will receive A Research Living Allowance, at current value of $37,145 AUD per annum for PhD (2026 rate with annual
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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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to 3.5 years (full-time) for Research Doctorate (PhD) studies Remuneration: The successful applicant will receive A Research Living Allowance, at current value of $37,145 AUD per annum for PhD (2026 rate
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export revenue, amounting to a total of $413 billion. Amid current social and political climates favouring the use of renewable energy and a broader push for net-zero emissions, the mining industry is
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Duration: 3.5-year PhD scholarship, subject to Monash University scholarship conditions Remuneration: The successful applicant will receive a Research Living Allowance, at current value of $ 37,145 AUD per