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researchers, to undertake your own innovative research in and across the fields of robotics, electrical power and signal processing, machine learning and AI within the School of Electrical Engineering and
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athlete. If your application is eligible it will then proceed to assessment against the selection criteria through a competitive process. This assessment will be undertaken by an assessment panel, which
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(e.g., C++, Unity, Python) a background or interest in human-computer interaction, gender studies, and/or construction familiarity with qualitative and quantitative research methods. How to apply We
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. For more information about the application process, email About the scholarship As the successful applicant you will complete your PhD in the field of organic photochemistry for advanced reprogrammable
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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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transport and accommodation costs. (Documents may be verified as part of the assessment process). If you are not sure what you need to bring or are having difficulty accessing documents (most should be
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that you want to be considered for the P2P Program Scholarship at question 2 of the Financial Details section. If you have any questions about the application process, contact hdr@qut.edu.au For P2P program
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. Clayton joined QUT in 1999 and dedicated his work to helping children with spinal disorders, and to improving treatment outcomes for patients who undergo spinal surgery. He brought together a dedicated team
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its relevance to APRA, and two written references. The written references will need to be attached to the application form and so you may need to scan hard copies for this process. Further information
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proceed to assessment against the selection criteria through a competitive process. This assessment will be undertaken by an assessment panel, which will comprise of representatives from the AIS and QUT