9 medical-image-processing-phd Fellowship research jobs at University of Adelaide in Australia
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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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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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Job no:516282 Work type:Fixed term - Full-time Campus:Adelaide Categories:Faculty of Health & Medical Sciences, Level C Level B – $111,031 – 131,335per annum plus an employer contribution of 17
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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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Australian ecosystems and ecosystem processes at different scales from targeted monitoring at the local level, through to surveillance monitoring at regional scales, through to continental scale observation
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successful you will need: A PhD in sociology/political science or a related discipline (e.g. gender studies, human geography). Demonstrated capacity to design, collate, and analyse qualitative research
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-Fenton processes for sustainable and purification technologies Experience in contributing towards attending conference and seminars Experience in publications in high impact journals as first author and co