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this project, UoA and the industrial partner 1414D work through a CRC-P (round 15) project to develop a new fluid reactor based on the SiPHyR technique, which integrates licensed designs from the UoA with 1414
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learning. This program allows students to conduct cutting-edge AI research at a world-class institute and provides travel funding to gain valuable experience working with international collaborators in
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, structural variations, and evolutionary dynamics. In this project we will aim to develop novel dynamic programming computational methods for pangenome assembly of diploid and polyploid crop species and
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to work on an exciting Trailblazer Project in multi-agent decision making in contested and dynamic environments, involving extensively applied work at the intersection of decision making and machine
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of CO2 propagation in heterogeneous media while accounting for diverse factors that influence flow dynamics. As part of this project the student will undertake a remote internship with Shell to produce
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, or international student; be enrolled in a PhD program in the Faculty of Health and Medical Sciences the field of medicine known as nuclear medicine; or a field of academic study where a substantial component of the
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and rural health staff informatics, coordinate the writing of ethical applications and reports, and contribute to writing publications and external grants. To be successful you will need: A PhD in
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. Demonstrated high level of computing skills, including competency with qualitative analysis software (NVivo), spreadsheets and data management systems. Experience in contributing towards producing conference
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. This project will use state of the art MRI sequences to characterise the morphology and composition of human joints for a cohort of people enrolled in a social running program, and subsequently phenotype
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Chain Management. Candidates with a bachelor's and master's degree in Operations Research, Applied Mathematics, Data Science, Computer Science Engineering, Artificial Intelligence, and Information