15 parallel-computing-numerical-methods research jobs at University of Adelaide in Australia
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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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reduction reaction, N2 reduction reaction, and C-N coupling. Experience in applying machine learning methods to support materials computations. Demonstrated ability to collaborate effectively with researchers
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crustal deformation rigs (recorded by high-resolution digital photography, laser scanning and digital image correlation) with numerical modelling to help reduce structural and geomechanical uncertainties
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in-house methods to develop null mutants in candidate genes via tissue culture and gene editing in Arabidopsis. The position will focus on pectin, and particularly on rhamnogalacturonan-II (RG-II
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Capability is a $250 million enterprise powered by UoA and UNSW, with funding from the Australian Government through the Trailblazer Universities Program, as well as university and industry partners. Our
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Professor Jose Polo, Lead of the Cancer Epigenetics Program at the South Australian Immunogenomics Cancer Institute (SAiGENCI) and the Inaugural Director of the Adelaide Centre for Epigenetics (ACE). Together
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science and engineering for energy-related applications. The research will be interdisciplinary and have a strong fundamental component with cutting-edge materials synthesis and advanced analytical methods
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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
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, with a focus on elucidating interfacial components and reaction mechanisms at the fundamental level. Potential to lead a research program in fundamental and/or applied areas addressing current battery
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agricultural research and innovation. Key Responsibilities: Conduct research in remote sensing, plant phenotyping, and computer vision, with a strong emphasis on multi-modal image processing. Develop and