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research and innovative teaching. You can learn more about Adelaide University HERE and more information will be provided throughout the recruitment process. Enjoy an outstanding career environment We
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nanotechnology-based approaches to modulate the immune system and create enhanced translational immunotherapy strategies in cancer. To be successful you will need: Completion of PhD (within last 5 years
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. This includes sample preparation, data collection, computational analysis, and 3D structure determination of protein macromolecules. Experience in cellular tomography workflows for EM analysis of cells and
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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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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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expertise in sedimentary geochemistry. It is expected that the candidate will have experience in collecting elemental geochemical data and interpreting them in terms of sedimentary processes that may include
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actions working on causal AI for a changing world. The AIML at the University of Adelaide is the largest computer vision and machine learning research group in Australia with over 180 members including
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strategies influence profitability (e.g. gross margin) and sustainability (e.g. GHG emissions). You will lead the analysis and interpretation of data arising from the network of trials that will provide
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/sequence, time of sowing and nitrogen management strategies influence profitability (e.g. gross margin) and sustainability (e.g. GHG emissions). You will contribute to the analysis and interpretation of data