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discipline, complete an expression of interest (EOI). The steps are: Complete the EOI available at Next Generation Graduates Program (NGGP): Sports Data Science & AI - Centre for Data Science Peruse
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only system in Australia’s National Influenza Surveillance Program documenting community ILI incidence and respiratory virus self-testing. The FluTracking team is a highly skilled and motivated group
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The successful 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
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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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partnered with Brightwater Care Group to create a unique program that educates students to share their knowledge and skills to provide high-quality person-centred care. Brightwater Care Group has 12 permanent
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Nations knowledge and perspectives are central to this transformation. The program supports First Nations people to work towards an MPhil or PhD degree, preparing them to become leaders in clean energy and
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fabrication facilities as well as high performance computing (HPC) facilities at QUT. PhD2: Pore-network modelling of reactive transport As a PhD student, you will develop efficient pore-network modelling
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Australian or New Zealand citizens or Australian permanent residents newly enrolling in a PhD. Students undertaking the joint PhD program will be enrolled in a PhD at both institutions. Your supervisory team
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Professor Pink’s Laureate Fellowship programme; summarise the theoretical, methodological and practical approaches you are interested in pursuing in a PhD and your interests in engaging with innovative visual
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to microscopic viewpoints, master his/her comprehensive and in-depth knowledge related to material science, physics, and chemistry. The PhD candidate will work with Professors Moses Tade, Zongping Shao, and Early