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and statistics, with expertise spanning time series analysis, Bayesian inference, financial econometrics, and data analytics. As home to one of the strongest forecasting research groups worldwide, we
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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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these areas is targeted towards achieving sustainable agricultural production for healthier and environmentally resilient outcomes; optimising the economic and nutritional value of South Australia’s clean
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focused on high throughput CRISPR screening to identify new cancer immunotherapy targets as part of an NHMRC Synergy Grant project titled “Improving outcomes for lung cancer patients: Discovering targetable
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, implementation, and evaluation of integrated interventions targeting the drivers of STI transmission. This includes addressing health system gaps, strengthening community engagement, and capturing the structural
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devices (LFDs) against clinically important targets. Prior research experience in developing LFDs is a mandatory requirement for this role. The complementary knowledge across nanotechnology, molecular
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lateral flow devices (LFDs) against clinically important targets. Prior research experience in developing LFDs is a mandatory requirement for this role. The complementary knowledge across nanotechnology
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type 1 diabetes, as well as from clinical trials targeting the gut microbiome. In this role, you'll take on leadership, driving impactful service and engagement activities while managing research