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Field
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assimilation, and multiple data sources to address two key research questions about water-energy interactions at biophysical scales: What are the scales of SM variability across different landscapes and their
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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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development of a sea ice model-data assimilation framework in WP3 of SI/3D and perform seasonal sea ice forecasting experiments. The postdoc will set up the data assimilation framework for summer sea ice
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distinguished research. Ability to quickly assimilate information and produce accurate summaries of information reviewed, and to critically appraise scientific (empirical) literature. Excellent communication
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modellers using advanced simulations to interpret and validate observations via data assimilation. There will be opportunities to spend time with project partners at UCLA (Prof. James McWilliams) and attend
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changes and established markers for Alzheimer's disease. The project may also include machine learning methods to estimate individuals' biological age. The project is based on existing data from a prominent
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of saprotrophs (bacteria and fungi) as well as mycorrhiza fungi. The postdoc will work together with UiO expertise on data assimilation to calibrate the coupled CLM-FATES model using: Snow cover Flux tower data
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, develop new ideas, and assimilate the information into his/her project design/interpretation. Dissemination of studies: Interact on a regular basis with their PI, faculty mentor and members
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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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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