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Field
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the knowledge base for decision making through six key activities: assimilating rich Norwegian datasets into process-based models novel modelling of forest disturbances more robust modelling of soil accumulation
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across Europe. The aim of NorSink is to improve the knowledge base for decision making through six key activities: assimilating rich Norwegian datasets into process-based models novel modelling of forest
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Yield Forecasting". This project aims to revolutionize agriculture in Morocco by combining cutting-edge technologies, including crop growth models, remote sensing data, data assimilation, machine learning
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focuses on global river discharge simulation and assimilation of satellite data/products from the Surface Water and Ocean Topography (SWOT) mission. This is part of a multi-year project funded by NASA
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Computer Science, Mathematics, Physics, Applied Economics, or a related quantitative field. Skills and Knowledge: Knowledge of scientific computing, data assimilation, and machine learning frameworks. Proficiency in
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to open-source projects on model reduction, finite element methods, data assimilation and inverse modeling. You will collaborate with researchers by exchanging ideas and technical knowledge in computational
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Minimum Qualifications: PhD in Computer Science, Mathematics, Physics, Applied Economics, or a related quantitative field. Skills and Knowledge: Knowledge of scientific computing, data assimilation, and
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global data assimilation, simulation and analysis, it will deliver a new class of accurate, reliable and usable forecasts, aiming to re-define the medium-range predictability limit from two to at least
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assimilation, simulation and analysis, it will deliver a new class of accurate, reliable and usable forecasts, aiming to re-define the medium-range predictability limit from two to at least four weeks, enabling
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-quality manuscripts (including figures and tables) and publish in peer-reviewed literature. Read literature articles, develop new ideas, and assimilate the information into his/her project design