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Field
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. 4. Advanced Control and Modelling Multi-modular distributed motor-drive architectures and ultra-fast semiconductor devices present significant control challenges. Research may involve FPGA-based
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, plus preparing modelling outputs that can be shared with project’s partners. The successful candidate will work with academic and industrial project partners to generate simulation and experimental
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different scenarios; implement and validate simulation models for system analysis, scenario evaluation, and future optimization; collaborateclosely with researchers, industrial partners, and fellow PhD
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the OGGM glaciological model for present-day conditions and simulate the recent behavior of selected studied glaciers. • Simulate glacier behavior throughout the Holocene using available climate model
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 3 months ago
, model calibration, and parameter identification Implementation of simulation, forecasting models, AI-accelerated computational models, and digital twins Support for validation and technological maturation
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of: electromagnetic sensor design, modelling, prototyping and experimental validation. The best fit is A candidate interested in high-frequency measurement techniques, sensor hardware development and precision
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material models, the development of Digital Twins, and the use of AI-based methods. This includes building model-ready databases, developing simulation chains that link process simulations with analysis
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-fidelity modeling approaches combining simulations of different fidelity levels, ranging from RANS calculations to high-fidelity LES, possibly associated with various levels of geometric or physical
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 2 months ago
) solvers are a key element in simulating dynamics, but their execution times, even on supercomputers, make them difficult to deploy for digital twins subject to strong reactivity constraints. Meta-models
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Engineering, Bioinformatics, Statistics, Applied Mathematics, Physics, or a closely related STEM field. Demonstrated experience developing AI and machine learning models for biomedical applications. Job