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opportunities to (i) better integrate model and observational data, (ii) represent key physical processes in a short-term forecasting context, and (iii) characterize the uncertainty of these simulators. Where
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evaluation of modal-decomposition techniques applied to data from high-fidelity numerical simulations of landing-gear aeroacoustics. The researcher will develop and implement modal-decomposition methods using
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and with the 2AT team at Institut Pprime to develop resolvent-based modelling tools for turbulent jets in cases where the jet mean flow is three-dimensional. The researcher shall: - Develop a high-order
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, - openness to collaboration with industrial partners (Airbus) and have a strong interest in aerospace modelling projects. The candidate must hold a PhD in mechanical engineering, aerospace engineering or a
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SyMulDaM project involving the development of predictive models to quantify the integrity and durability of a nuclear power plant containment structure., within the mechanical engineering department
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to collaboration with industrial partners (Airbus) and have a strong interest in aerospace modelling projects. The candidate must hold a PhD in mechanical engineering, aerospace engineering or a related field. The
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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control algorithms that create value for multiple stakeholders, including EV users, aggregators, grid operators, and energy markets. – Develop advanced co-simulation platforms coupling distribution network