206 developer-"https:" "https:" "https:" "Lawrence Berkeley National Laboratory Physics" Postdoctoral positions at CNRS
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. The overarching aim is to reveal how intracellular trafficking pathways are constructed, adapted, and regulated, while running in parallel with ongoing efforts aimed at developing therapeutic strategies to control
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are (i) to develop new bio-based synthons/monomers (ii), to provide pi-conjugated polymers and copolymers for (iii) organic photovoltaic devices and (iv) to achieve significant progress
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), which specializes in surface chemistry and molecular adhesion, is collaborating with the NanoStructured Materials for Photonics (MNP) team of the Lumière Matière Institute (ILM) to develop a new
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Postdoctoral researcher (M/F), synthesis of crystal phase heterostructures by Molecular Beam Epitaxy
Starting Date 1 Mar 2026 Is the job funded through the EU Research Framework Programme? Horizon 2020 Is the Job related to staff position within a Research Infrastructure? No Offer Description Develop and
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site. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7648-EDOBOU-049/Candidater.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research
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the competent authority of the MESR Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR6072-SOPRAS-011/Candidater.aspx Requirements Research FieldEngineeringEducation LevelPhD or equivalent Research
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channels for LWFA. - Run and combine plasma simulation codes on national HPC platforms. - Develop multi-physics workflows by coupling different simulation tools. - Analyze and interpret simulation results
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developed high-sensitivity detectors to probe newly discovered anomalous quantum Hall effect phases in rhombohedral graphene. In particular, we wish to study phases that, due to interaction, exhibit
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develop reaction profiles. • Propose reaction mechanisms and catalytic cycles at the molecular scale. • Propose chemical modifications of the catalyst to lower the energy costs of storage/release reactions
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combine density functional theory (DFT), molecular simulations, and machine-learning force field (ML-FF) development to uncover the factors controlling NHC–surface interactions and to model realistic