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experimental data will be used to feed into numerical simulations using the Fire Dynamic Simulator (FDS) code, incorporating the kinetic models developed. The overall aim of the work is to gain a better
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characterization techniques. The second phase will be dedicated to the development of a Multiphysics numerical model, validated and informed by experimental data, to simulate the WAAM process. Strong
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performing numerical simulations using in-house scientific softwares. In-depth knowledge of materials science or crystallography is not required. Website for additional job details https://emploi.cnrs.fr
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study combining Direct Numerical Simulations (DNS) with global stability analysis, providing valuable insight into the instability mechanisms at play. However, such high-fidelity numerical approaches
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process techniques for the development of ion channel simulation schemes. Design, program and maintain the code necessary for these simulation models. Run numerical simulations. Provide support for
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Title of the project: “A numerical survey of the magnetisation
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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
Associate Dean for Simulation and Experiential Learning Appointment Type Open Rank Vacancy ID FAC0005862 Full-time/Part-time Full-Time Permanent Hours per week 40 FTE 1 Position Location North Carolina, US
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strong interest in both experimental laboratory work and numerical simulation of materials. A clear motivation for combined experimental and simulation approaches is essential for this project, which aims
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uniformity, dynamic response, and integration compatibility with modern microelectronic and photonic platforms. The project will combine numerical modelling, optimisation methodologies, and experimental