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with sufficient accuracy using fast parametric algorithms and machine learning (ML) models instead of time-consuming simulations to evaluate scenarios for improving the user experience along cycling and
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proceed with the definitionand numerical implementation of the models for the simulation of the magnetic, electrical, thermal, and mechanical behavior of these devices. Appropriate experimental setups will
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Ecole Nationale des Ponts et Chaussées (ENPC) | Champs sur Marne, le de France | France | about 2 months ago
are: (1) simulating the effect of temperature change on geotechnical infrastructures, and (2) building a mechanical surrogate model. Tasks: The thesis work is divided into two tasks: Finite element
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. The role involves both numerical simulation and experimental lab work. Numerical modelling and vibration analysis of a typical CubeSat structure with representative loads will be carried out. This will
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. Description: Context: Laboratory Astrophysics is a core capability at NASA Ames Research Center. Laboratory experiments and quantum-chemical computations simulating astrophysical conditions generate data
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fields in cosmic voids and filaments. The candidate will reduce model uncertainties by producing new large cosmological simulations of the magnetic outputs from galaxies in the ENZO code, which will test
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laser systems. For more details, please view https://www.ntu.edu.sg/eee. We are seeking a Senior Research Fellow to lead the design and development of chip-scale laser systems for quantum sensing under
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simulation (Aspen Plus®); - Experimental experience in reaction systems and process intensification; - Ability to integrate modeling, experimental validation, and techno-economic analysis; - Experience in
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be analyzed in terms of the generated radiation stresses. The project will combine analytical modeling, numerical simulations (FEM), and experimental campaigns, in collaboration with physico-chemist
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 26 days ago
seeks to enable more accurate calibration and updating of model-based digital twins. These methodologies integrate observed data with simulation models developed during the design phases, reducing