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predictions. To mitigate these effects, advanced ML techniques such as Bayesian deep learning, probabilistic models, and uncertainty quantification methods can be applied to enhance model robustness
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); mathematical modelling of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; and statistical machine learning. More about the position The position is
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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
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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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communities, using a range of methodologies including realist evaluations, systematic reviews, scheduling and data forecasting, surveys and mixed methods research. Our partnership has been funded by NIHR Health
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Forecasting system developed by CSIRO. Along with a $42,000 p.a. scholarship for three and a half years, the student will have the opportunity to undertake a funded 60-day industry placement with one of our
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and addressing technical challenges in estimating rare, high-impact occurrences. Developing analytical tools for policy evaluation, including counterfactual analysis, forecasting, and network
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and addressing technical challenges in estimating rare, high-impact occurrences. Developing analytical tools for policy evaluation, including counterfactual analysis, forecasting, and network
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at ICLR 2024 10 papers with MLG authors will appear at ICLR 2024 in Vienna, Austria. May 7, 2024 Google Summer of Code and Turing.jl We’re happy to announce that Turing.jl, a probabilistic programming
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aimed at techno-economic optimization of energy systems. A key goal of this project is to incorporate forecasting and market data (e.g., weather, electricity, fuel, and emission prices) to enhance