30 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" PhD scholarships at Queensland University of Technology in Australia
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The Centre for Data Science (CDS), the Australian Institute of Sport (AIS) and Queensland Academy of Sport (QAS) are leading a consortium of government and industry organisations in sports, sports and
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for this scholarship at the same time you apply for admission to QUT's Doctor of Philosophy. The first step is to email Dr Xiuwen Zhou detailing your academic and research background, your motivation to research in
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for admission to a QUT Doctor of Philosophy . The first step is to email Dr Jiuling Li detailing your academic and research background, your motivation to research in this field and interest in this scholarship
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of Nek5000, Basilisk, or OpenFOAM desirable. How to apply The first step is to email Dr Tony Zahtila briefly detailing your academic and research background, your motivation to research in this field and
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specifically working with network constructs, network data, and/or mental models. Experience conducting qualitative fieldwork, particularly interviews. How to apply The first step is to email Dr Angela Guerrero
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to Indigenous-led research and advocacy are highly valued. 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 Raylene
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research problems. Demonstrated academic research experience as evidenced by publications in high quality research journals or conferences. How to apply The first step is to email Dr Zhongzheng Wang (in
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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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on what works, for whom, and in what contexts in rural/remote settings. Supervision The successful candidate will be supervised by Dr. Lana Elliott and Assoc Prof Christina Malatzky. This supervisory team
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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