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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 13 days ago
measurements of growth and expression levels of ribosomes and enzymes in the model organism Escherichia coli [5]. The proposed postdoc position involves the numerical simulation, analysis and inference
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effects. You will contribute to the numerical modelling part of the project, which will benefit from novel element level and centrifuge testing experimental results. You will set up and validate numerical
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highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud
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refrigerator (CNDR), which would allow ultra-low temperature researchers to take full advantage of cryogen-free technology. - Based on the existing codes, propose a route for a software versatile enough to model
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. The position involves the development and application of high-fidelity computational fluid dynamics (CFD) methods, theoretical modeling, and data-driven approaches to study turbulence, aero-thermo-acoustics, and
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To conduct research on the numerical modeling of giant-planet magnetospheres, with a primary emphasis on Jupiter’s magnetosphere–ionosphere system. The successful candidate will lead and analyze global
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: applied mathematics, mathematical physics, engineering mathematics, theoretical physics, electromagnetic theory, electromagnetic modeling, microwave and RF engineering, electromagnetics Appl Deadline: 2026
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validation. You will be joining a strong team that works within the following domains: Dynamic turbine response modelling in the multi-body framework HAWC2 Aero-servo-hydro-elastic stability analysis
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have a strong interest in both theory and numerical work. Numerical work involves code development (e.g., changing the C++ LAMMPS code, programming of data analysis tools, etc.), carrying out large-scale
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, supersonic, and hypersonic regimes. The position involves the development and application of high-fidelity computational fluid dynamics (CFD) methods, theoretical modeling, and data-driven approaches to study