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Field
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single fluid vortex and a liquid/gas interface in various configurations through theoretical/numerical modelling and stability analyses. The following configurations will be analysed : - a horizontal fluid
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-performance computing resources suitable for large-scale machine-learning and foundation-model experiments. Your role We are seeking a highly motivated Postdoctoral Researcher to join the FNR AI-HPC 2025
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continuing dental education. As one of the fastest-growing academic health centers in the nation, the Texas A&M University Health Science Center encompasses five colleges and numerous centers and institutes
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. This includes conceptualizing research questions, designing empirical studies, collecting or acquiring new data sets, and analyzing these data using advanced statistical models and visualization techniques
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, or a closely related field. Preferred Qualifications Demonstrated experience in continuum mechanics or statistical mechanics. Expertise in developing custom numerical solvers or using advanced
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sustainability and resilience. We aim to develop mathematical and probabilistic models, hybrid numerical approaches, computational algorithms, and integrated software platforms for modeling and managing
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"Phase-space-inspired numerical methods for high-frequency wave scattering: from semiclassical analysis through numerical analysis to implementation". The design of fast and reliable algorithms
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sheath). Candidates with strengths in theoretical modeling, asymptotic analysis, or numerical simulations are also encouraged to apply. Required Minimum Qualifications: PhD in Mechanical Engineering
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expertise in using numerical models to simulate aerosol-cloud interactions. Experience of Large Eddy Modelling will be an advantage but is not a requirement. You will have: Experience of numerical models
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to work with the FLEXPART model, you can also propose your own research topics. These could be, for instance, theoretical and numerical improvements of FLEXPART, development of new application fields