12 linked-data "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at CEA
Sort by
Refine Your Search
-
Category
-
Field
-
representative tests in small-scale batteries. A multidisciplinary team is involved in the project with much excellence and expertise in the topic. An example of a recent related research can be found here: https
-
develop and apply cryo-ET on microalgae from laboratory cultures and field samples. At LPCV, you will contribute to the research themes of the Photosymbiosis team led by Johan Decelle (https
-
field modeling of brittle fracture: Part I—Theory and simulations, Journal of the Mechanics and Physics of Solids, Volume 121, 2018, Pages 81-98, https://doi.org/10.1016/j.jmps.2018.07.010. [2] Lamia
-
performance analysis in a fully virtualized environment. These tools integrate QEMU-based emulation, external models, and a Python API for performance data extraction during application execution. A-DECA
-
Domaine Mathématiques, information scientifique, logiciel Contrat Stage Intitulé de l'offre Stage Human-Object Interaction benchmarking-Saclay-H/F Sujet de stage The interpretation of human
-
quantitative free-energy profiles for one or several staging transitions; and connect the atomistic results to phase-field modelling and compare with electrochemical and advanced-characterisation data. CV and
-
an experimental test bench for the thermo-hydraulic characterisation of the injector; · Conducting experimental campaigns and validating numerical models against experimental data; · Analysing results and
-
. - Designing and conductiong new experiments in order to validate the models. - Interpreting measurements and performing numerical simulations. - Comparing experimental data and numerical results to provide new
-
Controlling and manipulating quantum information using advanced nanoelectronic technologies represents a major challenge currently undertaken by CEA-LETI and its partners. A key objective of this
-
Domaine Mathématiques, information scientifique, logiciel Contrat Post-doctorat Intitulé de l'offre Using generative AI to simulate chemically disordered nuclear materials at the atomic level H/F