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available at https://clinical-research.centre.uq.edu.au/odesi About This Opportunity We are seeking a highly motivated Research Fellow to bring their expertise in Data Science and Machine Learning (ML
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innovative computational methods for biological data. In this interdisciplinary role, you will contribute to cutting-edge research at the interface of mathematics, statistics, bioinformatics, and biology. Your
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Educational Technology in the School of Computer and Mathematical Sciences. The successful candidate will be a researcher in the use of technology to support cognitive and meta-cognitive skills of students
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design, engineering and structural and functional characterisation of the novel nanoparticles for applications in biomedicine. About You You will have a PhD and, ideally, a postdoctoral experience in
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of the University may be required. Please review the position description for further information. About You You hold a doctoral qualification in Cognitive Neuroscience, Machine Learning, Computer Science or another
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School of Molecular Sciences ARC Centre of Excellence in Plants for Space Integrate advanced cell imaging and synthetic biology to create and characterise the first fully artificial plant chromosome
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– Bushfire Evacuation, you will be primarily based within the School of Engineering but work closely with interdisciplinary teams across the university including the School of Global, Urban and Social Studies
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School of Molecular Sciences ARC Centre of Excellence in Plants for Space Integrate advanced cell imaging and synthetic biology to create and characterise the first fully artificial plant chromosome
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Job no:516885 Work type:Fixed term - Full-time Campus:Adelaide Categories:Level A, Faculty of Sciences, Engineering and Technology Level A $102,024 to $109,307 per annum plus an employer
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Mathematical Ecology and Environmental Decision Science School of Mathematics and Physics Full-time, fixed-term position for up to 2 years and 9 months with the possibility up to 3 years, depending on funding