Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 7 days ago
:2011.10975. Prépublication, arXiv, novembre 22. http://arxiv.org/abs/2011.10975 . Hlad, Nicolas, et Benoit Verhaeghe. 2025. Migrating Katalon Studio Tests to Playwright with Model Driven Engineering. https
-
provide detailed information on local deformation mechanisms at the microscale, while numerical simulations and data-driven approaches will enable the development of predictive models capable of linking
-
Computational Mechanics. Solid background in continuum mechanics and numerical modeling Strong interest in machine learning and scientific computing Experience with numerical methods for PDEs and data-driven
-
detailed information on local deformation mechanisms at the microscale, while numerical simulations and data-driven approaches will enable the development of predictive models capable of linking
-
Computational Mechanics. Solid background in continuum mechanics and numerical modeling Strong interest in machine learning and scientific computing Experience with numerical methods for PDEs and data-driven
-
mangament in numerical models, including advanced calibration strategies from data (observations, measurements, other model predictions) and uncertainty reduction. Scientific context Many engineering and
-
(mainly developedat UEE). In particular the scientific program consists of the following tasks: – Modeling dissolution and precipitation of carbonate minerals within the caprock driven by diffusive and/or
-
complex problem that combines radiative heat transfer, optical engineering, and high-temperature system design. While simplified models often assume idealized geometries or perfect emitters and reflectors
-
9 Mar 2026 Job Information Organisation/Company CNRS Department Laboratoire d'Etude des Microstructures et de Mécanique des Matériaux Research Field Engineering Physics » Acoustics Engineering
-
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