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Field
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of this position is to assess the current capabilities of quantum computing for Numerical Weather Prediction (NWP), with a focus on developing hybrid quantum-classical or quantum-AI approaches. This includes
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and numerical methods for many-body dynamics beyond the reach of standard classical simulation. About the role We have a high preference for a candidates who is willing to start imminently, and before
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order to better understand, explain and advance society and environment we live in. The selected candidate will join the group Physics of Active Matter at the University of Luxembourg: https
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field, with a strong track record in numerical modelling, mathematical analysis and the development of computational methods for complex systems Additional requirements In addition to your CV and your
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candidate will : • Adapt the AEROTYPro/GRASP methodology for the typing and quantification of stratospheric sulfate aerosols; • Develop optical models for the characterization of sulfate particles produced
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Project: The successful candidate will contribute to a research project focused on the development, testing, and analysis of resilient geotechnical systems. The work will rely on centrifuge modeling
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Job Description Prof. Debswapna Bhattacharya’s research group in the Department of Computer Science at Virginia Tech (https://people.cs.vt.edu/dbhattacharya/) seeks to recruit multiple postdoctoral
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turbulence, or empirical statistical downscaling. The individuals will have access to state-of-the-art numerical models and high-performance computing systems at Princeton and NOAA, working alongside GFDL
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Polytechnique de Paris, is one of France's top 6 general engineering schools. The mainspring of Télécom Paris is to train, imagine and undertake to design digital models, technologies and solutions for a society
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on the development of continuum and discrete, stochastic mechanical models of ordered cellular structures and understanding the role of order in pattern formation. The project is in close collaboration with