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epidemiology, biostatistics, public health, or another similar field. The applicant will need to meet the minimum eligibility criteria for admission. Application Procedure Interested applicants should send
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(quantitative/qualitative) AND/OR computing design and analysis skills Provide evidence of strong oral and written communication skills Demonstrate an ability to work as part of an interdisciplinary research team
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PhD Scholarship in the Centre for Advanced Defence Structures and Materials Experimentation (CADSME)
$42,500 for 3.5 years. $42,500 for 3.5 years. Must be an Australian Citizen. Meet participating university PhD admission requirements. Enrol as a full-time PhD student. Further restrictions may
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equivalent) of your doctoral studies. As the scholarship recipient, you will have the opportunity to work with a team of leading researchers, to undertake your own innovative research in QUT's Faculty
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awarded 1 Eligible courses Any HDR student wishing to study in chemical engineering. Eligibility criteria The successful candidate must meet the minimum academic entry requirement for admission
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Expressions of interest are sought for a full-time scholarship to study for a PhD supervised by the Faculty of Information Technology. The candidate will work on a project to improve the design, implementation
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funding from the Australian Eating Disorders Research and Translation Centre (AEDRTC) and will fund the candidate to work as part of a multidisciplinary team. The candidate will receive training in, and use
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the cost of your tuition fees for the first four full-time equivalent years of your doctoral studies. As the scholarship recipient, you will have the opportunity to work with a team of leading researchers
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scholarship will include both theoretical work and experiments. The project will involve incorporating various elements into the diamond lattice via ion implantation, high-energy irradiation, and high
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interested in connecting spatial and spectral information to understand complex materials systems at the molecular level with machine learning. PhD Student A will work with tumour sections to develop multiple