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bias-corrected and downscaled climate data as input. The reconstruction of past floods from lake sediment records will be used to compare with model outputs, which will assess the models' ability
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(geostatistical) data analysis approaches (at least Excel and ArcGIS, but preferably also R and Grapher or similar) is a requirement Strong skills in statistical analysis and the handling of large spatiotemporal
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climate change are far-reaching, particularly when it comes to identifying and interpreting trends in regional-to-local scale signals and extreme events. Large ensembles of climate simulations are a key
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to develop methodologies for real-time modeling and inversion of geophysical well logs, with a particular focus on borehole electromagnetic data during drilling. This includes the further development
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variability and predictability is an advantage. Experience with Linux clusters, and running Earth System Models, is an advantage. Experience with handling large datasets, such as CMIP data, is an advantage
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aerodynamics. Experience in data analysis and interpretation of large datasets. Knowledge and experience from use and development of CFD codes. Risk analysis and risk assessments in the process industry. Good