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FieldEnvironmental science » OtherEducation LevelBachelor Degree or equivalent Skills/Qualifications Expertise in equation oriented modelling with Matlab or Scilab. Process simulation in commercial software such as
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this, the objective is to take charge of and develop the CLEPS modeling tool, which simulates cloud chemistry. This model, which has been significantly developed in recent years, considers chemical reactivity processes
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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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at various points in a subcritical model reactor operating at near-zero power and driven by an external high-intensity, high-reliability neutron source; 2) Extending the previous results to a power ADS loaded
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Research Associate to
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thermodynamic cycles by combining two complementary approaches: - Generative models derived from artificial intelligence, capable of proposing new process architectures; - Superstructure-based optimization
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) The overall following data and analyses of the different physical effects (orbital vs. Spin contribution) will be accompanied by the development of advanced theory/model/numerical simulations and possibly DFT
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years the atmospheric modeling community achieved major advances in its capability to numerically simulate iodine chemistry in the atmosphere. This project will take advantage of the 1D chemistry and
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in power electronics systems and components, Multi-physics modeling using open-source simulation environments (e.g. FastFieldSolvers, Elmer, PyPEEC, MEEP), Circuit simulation using open-source tools
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Job description: DESY The CMS Quantum Computing group develops generative machine learning models for detector simulations, specifically the simulation of showers in calorimeters: Proof-of-principle