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the direction of A/Prof Claudia Szabo in the School of Computer and Mathematical Sciences at the University of Adelaide. The project is a collaboration with Defence Science and Technology Group, within the Combat
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collaboration between industry, government, and academia. The Australian Institute for Machine Learning (AIML) at the University of Adelaide is the largest computer vision and machine learning research group in
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computer vision and machine learning research group in Australia -- and contribute to world-leading research projects at the CommBank Centre for Foundational AI This postdoctoral research position is part of
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This PhD scholarship is funded by an Australian Research Council Industry Fellowship grant. It is a 3.5-year research training program. The ARC Industry Fellowship program aims to develop a strong
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technologies, with a specific focus on electrode/electrolyte interface studies for secondary batteries. The successful candidate will have recently completed, or be nearing completion of, a PhD in a relevant
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to global conservation science. To be successful you will need: A PhD in quantitative ecology, quantitative conservation biology, applied mathematics or a related Discipline Publication record in the relevant
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proteins, combined with methods such as microscale thermophoresis will also be used to characterise enzyme activity. The postdoc will also co-supervise PhD students and Honours students. Outputs will include
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Ecosystem Research Network (TERN) is the national observatory for Australian ecosystems, delivering data streams that enable environmental research and management. TERN’s infrastructure is designed to examine
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chronic disease prevention/management, pharmacoepidemiology and big data research. The successful candidate will also promote internal and external relationships with relevant research groups and
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to, and interpretation of, extreme material online. It will use in-depth qualitative methods to collect novel data and provide an evidence-base for points of intervention. It is part of an ONI Discovery