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superannuation) Amplify your impact at a world top 50 University Join our inclusive, collaborative community Be surrounded by extraordinary ideas - and the people who discover them About Us The Department of
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, they will have prior knowledge of infectious disease modelling, Bayesian inference methods and optimisation methods. They will have a developing research profile, with a demonstrated ability to publish
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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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), clinical trials, disease surveillance, and the use of novel methods including Bayesian network, machine learning, social network analysis and dynamic data visualisation tools. Further information is
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months only to find they are worthless at harvest. This project aims to develop new capability to detect and measure volatile agents directly in smoke, allowing growers to make more cost-effective vineyard
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superannuation) Amplify your impact at a world top 50 University Join our inclusive, collaborative community Be surrounded by extraordinary ideas - and the people who discover them The Opportunity The Department
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internationally. Key responsibilities include: Developing and standardising methods to detect and analyse microplastics in soils and livestock. Establishing an Australian data inventory on microplastic
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collaborative networks both nationally and internationally. Key responsibilities include: Developing and standardising methods to detect and analyse microplastics in soils and livestock. Establishing
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to prioritise a range of tasks and meet deadlines. An understanding of and commitment to UNSW’s aims, objectives and values in action, together with relevant policies and guidelines. Knowledge of health and
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research profile in peptide chemistry and ion channel biology. Our laboratory explores the venoms of arthropod predators to discover peptides that modulate the activity ion channels involved in human disease