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encouraged to build on previous work within the framework of planet formation models. Required skills: Strong understanding of broad aspects of formation of stellar systems, including numerical/hydrodynamic
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and assembly) (3) the study of their structure and their properties and (4) analytical and numerical modeling. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5031-CORAME0-048
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human stem cells for in vitro modeling of neurodegeneration disease. Projects in the lab are at the interface of systems biology and bio-medical research. In particular, we aim at developing novel
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 6 hours ago
computational methods. These quantities feed into our group's thermodynamic and geophysical numerical models. In addition, we are interested in investigating the consequences of the presence of organic matter in
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 hours ago
%) Test a tunable-stiffness model plant in the Environmental Flows Water Tunnel in order to determine model improvements needed and collect preliminary data on the variation of sediment transport and near
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Research Description: Position will require the development and application of numerical codes modeling the nonlinear
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engineering, computer science applied to urban infrastructure, data science, or a related field. Expertise in numerical modeling and simulation for urban systems. Proficiency in digital twin tools and platforms
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with data-based models and numerical dynamo simulations. The successful candidate will contribute to studies of time-averaged geomagnetic field morphologies and core dynamics during transitional events
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geometry, affine algebraic geometry Lena Bunina Model theory, AI in mathematics, algebraic groupsmodel theory of groups, Chevalley groups, applications of AI to mathematics Naomi Feldheim Probability
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understanding of geomagnetic field evolution across different timescales, including both stable and extreme periods. This will involve working with data-based models and numerical dynamo simulations