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feeds Post-Doc - 24 months : Development of Silicon-Perovskite Tandem Solar Cells 165 / 780 vacancy Vacancy details Position description Category Materials, solid state physics Contract Postdoc Job
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feeds Postdoc Modelling, CFD and Experimental Development of an Innovative Absorption Injector H/F 194 / 446 vacancy Détail de l'offre Description du poste Domaine Mécanique et thermique Contrat Post
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model development for EOS, transport properties and opacities will be added, and compare with experiments with laser interaction on gaz jet or burried layer, or experiments with a high pulse power
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- neutron imaging simulation Subject Development of a neutron imaging simulation code applied to non-destructive testing Contract duration (months) 24 Job description The CEA-List (DRT) develops the CIVA
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Postdoc – Advanced characterization of the stability of tandem photovoltaic cells under illumination
. Based on an existing model, simulation work will be carried out to study the dynamic phenomena related to the lifespan of these solar cells. The work includes physical measurements, semiconductor
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spectral pour la structure électronique - H/F Ref. : 2026-41571-S2175 Postdoc Essonne (91) Bruyères-le-Châtel Stage Quantification d'un World Model de type JEPA pour une inférence embarquée-Saclay-H/F
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, contributing to the development of a new architecture for proton exchange membrane fuel cells (PEMFC). The goal: to simplify the system by reducing, or even eliminating, the humidifiers currently
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their electronic and optoelectronic properties, with particular emphasis on their electrical and environmental stability. This work will contribute to the development of a SWIR imaging demonstrator
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porous designs so as to increase the thermal powder density that can be dissipated by the system. The postdoc will supervise all development regarding the test setup, lead experimental campaign(s) at
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, software Contract Postdoc Job title Postdoctoral Researcher in AI – Self-Supervised Learning of Multimodal Representations (M/F) Subject Development of self-supervised learning and multimodal