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to forecast disease burden under alternative vaccination schedules and to assess the impacts of completed vaccination programs against baseline transmission counterfactuals. This project will build on existing
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exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis, natural
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of samples and structured metadata along lab scale comminution experiments and validation of modelling results Evaluation of the forecasting capabilities of the methodology integrated within a flowsheet
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Norway) in Bergen, Norway. The Norwegian Meteorological Institute (MET Norway) is a leading international forecast and research institution with expertise in operational meteorology, oceanography, and
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modeling) Molecular ecology and genetic analysis Ecosystem forecasting Salmon life history Climate and ecosystems CoastWatch /PolarWatch Fisheries resources (including advanced survey technologies
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-organising reaction networks and the emergent complexity in such systems form powerful reservoir computers capable of non-linear classification, times-series prediction and forecasting, on a par or even
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Environmental Protection Agency (EPA) Project “Noise 2050” 3 × Fully-Funded PhD Scholarships (4 years, expected start: autumn 2025 — flexible) The EPA-funded Noise 2050 project will forecast
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to accurately forecast properties for new alloy compositions or processing conditions. Second, capturing and incorporating microstructural features into ML models presents another hurdle. Microstructure plays a
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city size framework into dynamic land use–transport interaction (LUTI) models to enable scenario-based forecasting and planning under different infrastructure and policy conditions. Understanding
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of this contribution. Despite the temporary slowdown caused by the COVID-19 pandemic, global air travel demand is forecast to double between 2024 and 2043, potentially leading to a significant increase in the sector’s