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research team to contribute to the development of instruments to improve indoor air quality. The successful applicant will have a doctorate in computational fluid dynamics, aerosol science, aerobiology
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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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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
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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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student mobility program. The position involves processing study applications and credit arrangements, promotional activities and presentations, assisting students with queries and providing an interface
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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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research team to contribute to the development of instruments to improve indoor air quality. The successful applicant will have a doctorate in computational fluid dynamics, aerosol science, aerobiology
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to recruit a student to take up the scholarship and begin full-time study in July 2024. You will have: a background in a relevant computer science, social science, or humanities discipline, such as machine
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Mathematical and numerical models of piezoelectric wave energy converters (MPhil or PhD scholarship)
(1.75 years for MPhil). This is the full-time, tax-exempt rate. If you're a domestic student, you will receive an Australian Government Research Training Program (RTP) Fee Offset. If you're
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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