37 parallel-computing-numerical-methods positions at Utrecht University in Netherlands
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, the Community Earth System Model (CESM). Stratospheric Aerosol Injection (SAI) is a controversial, hitherto hypothetical method to cool the earth by injecting a thin reflective cloud layer into the higher
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interdisciplinary environment within EMBRACER and international partners and apply advanced methods like Lagrangian tracking and reanalyses to reveal new insights into atmosphere-ice-ocean feedbacks in the Arctic
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science, mathematics, physics, or a related field. You have affinity with numerical modelling, preferably atmospheric modelling or climate modelling, and mathematical theory of dynamical systems. You have
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your motivation letter. This project is part of the 10-year EMBRACER research programme funded by the Dutch Research Council (NWO). At EMBRACER, we work at the very frontiers of knowledge on climate
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problems for quantum fields on asymptotically anti-de Sitter backgrounds with methods of microlocal analysis. A key goal of the project is to develop robust mathematical techniques for analyzing and
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knowledge graph models of such transformations that are self-describing when applied to existing map repositories, and can be scaled up to large data repositories using state-of-the-art AI methods. In
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between these important climate subsystems, using models of different complexity and a combination of mathematical, numerical and data analysis methods. You can find the other vacancy at PhD Position in
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to appropriately respond. The PhD project will take a unique, multi-method, and longitudinal approach. The basis for the PhD project will be a longitudinal cohort-study, where three groups of youth (starting ages 10
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within the research programme are also warmly welcomed. The proposal should explain how the multidimensional research method is applied (as described in the research programme). In particular, we find it
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recruiting participants, to conducting ego-centric network studies and experiments at Dutch schools and Dutch companies); You will use advanced statistical methods to process and analyze data (e.g., social