28 parallel-processing scholarships at Queensland University of Technology in Australia
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supported by an ARC Industry Fellowship, in partnership with Bush Heritage Australia. The student will work closely with ecologists and computer scientists at QUT and conservation managers at Bush Heritage
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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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. 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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(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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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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. 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