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-performance computing, machine learning models (eg. LLM), probabilistic models for data, novel techniques for making measurements, visualization tools, and community-oriented foundational software tools. Please
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successful appointee will be centrally involved in the delivery of the ARIA-funded Forecasting Tipping Points programme , and will work collaboratively with Professor Doug Benn (University of St Andrews) and
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in real-world public health applications, including pandemic preparedness, outbreak forecasting, and integrating diverse data sources to inform decision-making. PREFERRED QUALIFICATIONS: PhD in
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with recent developments at the HISP Centre at UiO, which is expanding its long-standing DHIS2 infrastructure to support pre-dictive modeling and disease forecasting in low- and middle-income countries
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infrastructure to support pre-dictive modeling and disease forecasting in low- and middle-income countries. The plan is for the candidate tofocus on Bayesian modelling in close collabora-tion with researchers
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NorSink will lead to a step change in the emerging science of carbon budgets and forecasting, and provide decision makers with the knowledge to design effective climate policies as Norwegian and European
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an opportunity to work with the Bureau of Meteorology, applying advanced analysis and programming skills to operational weather data for forecasting at various time scales. Key responsibilities include independent
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and forecasting wildland fire smoke transport and dispersion. The project objective is to improve both wildfire and prescribed fire operational decision support in various landscapes. They will interact
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data for the inclusion of ocean and coastal carbon NorSink will lead to a step change in the emerging science of carbon budgets and forecasting, and provide decision makers with the knowledge to design