99 associate-professor-computer-science-"https:"-"https:"-"https:"-"https:"-"https:" positions at Queensland University of Technology
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, to undertake your own innovative research in and across the field. During this project, you need to work in domestic and international institutions such as Australia's Nuclear Science and Technology Organisation
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What you'll receive You will receive a Women in Electrical Engineering top-up scholarship of up to $25,000. The scholarship is paid on a fortnightly basis and is tax-exempt for full-time students
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experiencing financial hardship enrolled in or applying for ST01 Bachelor of Science (Earth Science), or ST01 Bachelor of Science (Environmental Science) This scholarship is not available to: single-unit study
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opportunities by supporting and engaging students in other structured program opportunities for Indigenous Australian students in the Faculty of Science, like the Indigenous Australian Research Training Scheme
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What you'll receive You'll receive: a scholarship valued at $15,000 paid over three years for a Bachelor of Mathematics degree in the Faculty of Science a scholarship valued at $20,000 paid over
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. You must: enrol as a full-time, internal student (unless approval for part-time and/or external study is obtained) have a background in one of these areas: molecular biology RNA interference /gene
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Philosophy degree. The first step is to email Associate Professor Selen Turkay , detailing your academic and research background, your motivation to research in this field and interest in this scholarship, and
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Change Lab (Associate Professor Michele Barnes, University of Sydney), and leading network methodologist Dr Pavel Krivitsky (University of New South Wales). The overarching goal is to provide the first
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implications in ethical, efficient, and reliable alternatives to animal testing. The supervisory team Queensland University of Technology: Professor Travis Klein CSIRO: Dr Almar Postma Gelomics Pty Ltd: Dr
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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