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to shape a desired area of focus within the applied climatology framework. Successful candidates will be involved in field sampling, numerical/statistical modeling of hazards/impacts, and outreach to local
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to assess the realism of IPSL climate model regarding air-sea carbon exchanges - Application of these diagnostics to a set of numerical simulations to quantify improvements in C-cycle in the new IPSL climate
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concrete model problems and numerical examples to guide and prototype the development Qualifications and personal qualities Applicants must hold a master's degree or equivalent education in applied and
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, modeling and Remote-sensing to Transform carbon budgets, CLARiTy’ (https://www.schmidtsciences.org/vicc/) will reduce the persistently high land flux uncertainties in GCB by an order of magnitude. To achieve
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numerical modelling tools (e.g., Delft3D, HEC-HMS, MIKE, GR4J) is advantageous. Strong analytical and visualization skills with excellent scientific writing and communication abilities. Ability to work
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attention to phenomena dependent on strain rate, temperature, thermal history, and microstructure; elasto-viscoplastic and micromechanical constitutive modeling, developed in academic and/or industrial
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particular constraints and will be identical to those of the other researchers at the Observatory. The PhD thesis concerns the analytical and numerical modeling of galactic bars. The candidate will compare
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Job Description We are seeking a visionary researcher to lead the development of transformative global water and infrastructure datasets that underpin AI and process-based hydrologic models. You
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kinetic models and their hydrodynamic limits. Dispersive phenomena in kinetic theory. Quantum gases. Applicants must hold a PhD degree in mathematics, physics or a related field. We seek candidates with
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. Recent progress in text-to-image generation, fueled by diffusion models and large-scale training, has greatly improved image synthesis aligned with textual prompts. This project, however, focuses on a