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environments. Access proprietary market data and institutional infrastructure, including cutting-edge computing environments and live market simulation tools. Translate research into production, contributing
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candidate must enrol into a Doctor of Philosophy (PhD) program (full-time study). Eligibility criteria The successful candidate must meet the minimum academic entry requirement for admission into the Doctor
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number awarded 3 Eligible courses The successful candidate must enrol into a Doctor of Philosophy (PhD) program (full-time study). Eligibility criteria The successful candidate must meet the minimum
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qualifications in psychology, human factors, artificial intelligence, human computer interaction, or a discipline that could shed light on individual and team dynamics within the context of command and control
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opportunity to contribute to cutting-edge research that has a real-world impact on the agricultural sector. The Analytics for the Australian Grain Industry (AAGI) Scholarship Program (AU node) is funded by
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courses Any HDR student wishing to study in the exploration seismology filed. The successful candidate must enroll into a Doctor of Philosophy (PhD) program (full-time study mode). Eligibility criteria
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explore unconventional ideas, develop computer algorithms for data analysis, create new experimental approaches, and apply the technique in areas like biomedicine, materials science, and geology. My group
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PhD Scholarship in Generative Artificial Intelligence Job No.: 686325 Location: Clayton campus Employment Type: Full-time Duration: 3.5-year fixed-term appointment Remuneration: The successful applicant will receive a Research Living Allowance, at current value of $36,063AUD per annum 2025...
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Metallurgy and Corrosion cluster, working within a multidisciplinary team spanning theory, advanced characterisation, and computational modelling. This environment provides an excellent platform for developing
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, computational modelling, and data-driven alloy design to: Understand the mechanisms of local austenite-to-ferrite transformation in low-alloy steels; Develop frameworks to predict and control