30 computer "https:" "https:" "https:" "https:" "Dr" PhD positions at Queensland University of Technology in Australia
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for admission to a QUT Doctor of Philosophy . The first step is to email Dr Daniella Teixeira detailing your academic and research background, your motivation to research in this field and interest in
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What you'll receive The CSIRO Industry PhD Program (iPhD) aims to produce the next generation of innovation leaders with the skills to work at the interface of research and industry in Australia
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students. How to apply Apply for this scholarship at the same time you apply for admission to a QUT Doctor of Philosophy . The first step is to email Dr Daniella Teixeira detailing your academic and
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Branch’s Queensland Women and Girls’ Health Promotion Program. Supervision from experts within QWGHP, including Dr Emma Heard as industry supervisor, will also ensure alignment of the research and potential
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for this scholarship at the same time you apply for admission to a QUT research degree / Doctor of Philosophy. The first step is to email Dr Katharina Esau detailing your academic and research background, your
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Machine Learning for Image Classification. Eligibility You must: We would like you to have: sound knowledge of machine learning, computer vision and image processing strong programming skills. How to apply
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time you apply for admission to QUT's Doctor of Philosophy . The first step is to email Dr Amy McQuire detailing your academic and research background, your motivation to research in this field and
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of Philosophy / professional doctorate . The first step is to email Dr Veronica Gray detailing your academic and research background, your motivation to research in this field and interest in this scholarship
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. First-authored publications on refereed journals is a bonus. How to apply Apply for this scholarship at the same time you apply for admission to QUT's Doctor of Philosophy . The first step is to email Dr
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for the scholarships. Experience in Machine learning and/or finite element modelling would be preferable. The successful candidate will be supervised by Associate Prof. Hafizah Binti Ramli, Dr Sabrina Fawzia, and