34 software-verification-computer-science-"Prof" PhD positions at Queensland University of Technology
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-time and/or external study is obtained) by 1 July, 2025. Have a background in ecology, conservation biology, or a related discipline. How to apply Apply for this scholarship at the same time you apply
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Creative arts Design Engineering English language and pathway programs Health Information technology and games Justice Languages Law Mathematics and data science Science Teaching Explore Mid-year entry QUT
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-time and/or external study is obtained) by 1 July, 2025. Have a background in ecology, conservation biology, or a related discipline. Preference will be given to Aboriginal or Torres Strait Islander
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are available to support: postgraduate students wanting to complete part of their Australian program in the US students seeking to complete a full US masters PhD students wanting to complete research in the US as
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Application dates Applications close11 July 2025 What you'll receive You'll receive a stipend of $37,010 per annum for a maximum duration of 3.5 years while undertaking a QUT PhD. The duration includes an extension of up to 6 months, if approved for your candidature. This is the full-time,...
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Application dates Applications close30 May 2025 What you'll receive You'll receive a stipend of $33,637 per annum for a maximum duration of 3.5 years while undertaking a QUT PhD. The duration includes an extension of up to 6 months if approved for your candidature. This is the full-time,...
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-class honours (H1) Bachelor’s degree or equivalent in the relevant research area (completed or near completion) have applied for admission to a PhD program at an Australian university or have completed
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areas: conservation science applied ecology Antarctic science environmental management geography environmental economics. How to apply To apply for this scholarship prepare a cover letter, outlining your
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English language requirements enrol as a full time, internal student (unless approval for part-time and/or external study is obtained) a master’s or honours degree in Materials Engineering, Physics, or a related
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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