106 Computer Science "University of Applied Sciences" positions at Queensland University of Technology
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computer interaction and an honours degree or equivalent. How to apply Application closing dates vary: international applications close 31 July 2024 domestic applications close 31 August 2024. Apply
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What you'll receive The CSIRO Industry PhD Program (iPhD) aims to produce the next generation of innovation leaders with the skills to work at the interface of research and industry in Australia
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Find out more and apply by clicking Apply or the link below. View the job details at: Queensland University of Technology - Technology Support Officer (Client Computing, Student Environment) View
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(applied mathematics, applied statistics, computer science) to join School of Mathematical Sciences, Faculty of Science, Academic Division. MACSYS is intended to generate the mathematics and computational
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campuses including the Keystones of Success: Supporting our Future Leaders program. The Keystones of Success: Supporting our Future Leaders program provides individual tuition support to eligible Aboriginal
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-2024 Applications Close: 27-May-2024 at 11.30pm Find out more and apply by clicking Apply or the link below. View the job details at: Queensland University of Technology - International Student Mobility
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July 2025 have a master’s degree in data science, computer science, operational research, transport engineering, or related discipline have a strong background in data science, machine learning
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Mathematical and numerical models of piezoelectric wave energy converters (MPhil or PhD scholarship)
energy present in ocean waves. The candidate will be supervised by Dr Vivien Challis and Prof Scott McCue at Queensland University of Technology (QUT), and will engage in discussions with the broader
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Find out more and apply by clicking Apply or the link below. View the job details at: Queensland University of Technology - Student Wellbeing Program Lead View Position Description Opens in new window
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data streaming in from cameras, devices, and sensors. Our expertise in Power Engineering, Renewable Energy Systems, Robotics, AI/Machine Learning, Computer Vision and Signal Processing allows us to