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, programming languages, scientific computing, and statistical physics communities. Depending on your background and interests, your project could involve: developing new differential and probabilistic
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institutes. You also possess: A successfully completed MSc degree in: hydrology, earth systems, statistics or a similar research area Advanced programming skills (preferably R or Python) Analytical skills with
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developed models will be applied to estimate design flood events for different return periods and flood types. With metrics based on flood statistical aspects, the type-specific models will be compared
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able to work with very large data and have the creativity and curiosity to work with network measures and statistics. You may also be an expert on grounded computational social science: combining large
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modeling, led by five team members. The current PhD position focuses on developing surveys and conducting statistical analysis of the unique microdata collected from households and firms across three
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to staff position within a Research Infrastructure? No Offer Description The Department of Earth Sciences is looking for a highly motivated PhD candidate with an MSc background in Earth Sciences
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years ahead? Then we’d love to meet you. What you bring We’re not looking for checkboxes; we’re interested in who you are and what you bring. Do you recognize yourself in this? MSc degree in public health
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expertise in biology bioinformatics, AI, genetics, neuroimaging, computational neuroscience, psychology, and statistics, together contributing to a deeper understanding of the basis of human brain
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toolchain comprising a statistical description of the wind resource and physics-based models of the AWE system will be combined with a cost model of the farm. Is it better to scale up the individual systems
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, to obtain objective and subjective measurements of sleep during the home-based auto-titration period. Further, the candidate will explore using state-of-the-art statistical and data analysis methods, how