21 parallel-computing-numerical-methods-"Prof" research jobs at University of Adelaide
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metapopulation and/or individual based models Knowledge of Bayesian methods, including Approximate Bayesian Computation Experience with big data analysis and HPC environments Knowledge of additional programming
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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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. For further information For a confidential discussion regarding this position, contact: Prof. Michael Beard Group Leader, Viral pathogenesis Research Laboratory, School of Biological Sciences P: +61 (8) 8 8313
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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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this advertisement before the closing date if a suitable candidate is identified. For further information For a confidential discussion regarding this position, contact: Assoc. Prof. Bastien Llamas Group Leader
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equivalent qualifications or research experience. Outstanding verbal and written communication skills Demonstrated experience in research in evidence synthesis methodology and research methods and experience
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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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Public Policy, providing cutting-edge research in areas such as econometrics, macroeconomics, data analysis, and quantitative methods. Our ideal candidate is comfortable in working independently with a
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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