58 computer-science-programming-languages-"Prof"-"Prof" PhD positions at Curtin University in Australia
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criteria For both domestic and international students. Minimum requirement: Bachelor degree (first-class honours or upper second-class honours) in Civil and Structural Engineering or related fields. Language
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to three years of study (with the potential for extension) Scholarship Details Maximum number awarded 1 Eligible courses The successful candidate must enrol into a Doctor of Philosophy (PhD) program
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academic entry requirement for admission into the Doctor of Philosophy program https://research.curtin.edu.au/postgraduate/ including the English proficiency levels set by Curtin University. Candidates
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research program (First class), or a Masters programme with a research component (First class equivalent), or a Masters degree by research Essential: Strong grounding in a field relevant to the project
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Full-time enrolment in a PhD program at Curtin University Background in artificial intelligence, computer vision, or structural/civil engineering Demonstrated research experience, with evidence of
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. The Curtin HDR base rate is normally higher than the Australian Government Research Training Program (RTP) scholarship base rate . Scholarship Details Maximum number awarded 2 Eligible courses All applicable
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Professor Kingshott, you may be invited to apply for the scholarship by completing an Expression of Interest to join the program, via Curtin’s EOI form . All potential candidates will be interviewed as part
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fund research in resources technology and/or critical minerals and to deepen connections with industry. The areas of focus for the Resources Technology and Critical Minerals Trailblazer Program include
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to three years of study (with the potential for extension) Scholarship Details Maximum number awarded 1 Eligible courses The successful candidate must enrol into a Doctor of Philosophy (PhD) program
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project within an NHMRC-funded program focused on dementia research. Using a systems biology framework, the project will integrate genomic and lifestyle data to identify key molecular pathways and risk