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for analysis of large-scale human genetic and neuroimaging data, to better understand how biological, psychological, and environmental factors contribute to severe mental and neuropsychiatric disorders
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for giga-scale CO2 storage. Concretely, this PhD project will look at the theoretical foundation and associated numerical and computational methods for large scale poroelastic response on the basin scale
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- to large-scale ocean biogeochemistry, in particular of carbon cycle processes, dynamics of oxygen and nutrient cycles, is required. Expertise in scientific scripting, programming, and data analysis (e.g
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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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. Potential methodological topics focus on meta-analyses and the analysis of large-scale assessment data: Methods and approaches to synthesize large data sets via meta-analyses (e.g., meta-analyses of large
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data from aircraft field campaigns and satellites. We are now looking for an engaged and highly qualified PhD candidate to join our collaborative team. As a PhD in the Meteorology group
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. The project will make use of novel and established water tracing diagnostics, including stable water isotopes. There is also a possibility to work with observational data from aircraft field campaigns and
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computational methods for large scale poroelastic response on the basin scale - thus covering multiple CO2 storage locations. This may involve mathematical topics such as upscaling, homogenization and numerical
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is a large national center gathering all research and industry partners in Norway who are focused on batteries. Responsibilities Advances in battery technology are driving innovation in industries
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experimental and computational approaches to profiling antibody-antigen binding at large-scale. The Greiff Lab focuses on the quantitative understanding of adaptive immune receptor (antibody and T-cell receptor