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semiconductor quantum technologies and condensed matter physics, enabling the exploration of correlated charge and spin states in scalable quantum dot networks. The successful candidate will: • Develop
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by the dissymmetry factor, g_Lum. To date, major efforts have been devoted to develop CPL-active organic systems,[1,2] yet their gLum values are typically unsatisfactorily low. On the other hand
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help reduce uncertainties in climate forecasts and better assess the effects of aerosols on atmospheric systems. The postdoctoral researcher's mission will be to develop and improve the WRF-Chem model
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on developing deep learning methods for the reconstruction and physical analysis of ATLAS experiment data. The selected candidate will develop innovative analysis methods for the reconstruction and physical
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asymmetries along the former Inner-German Border” was launched in October 2024 (https://divsky.hypotheses.org/ ). It brings together around ten researchers and lecturer-researchers (UMR Printemps, UMR
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operation, including waveform generation, timing synchronization, and signal routing. • Develop experimental protocols to characterize the impact of the cryoelectronic on the quantum dot arrays. • Investigate
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14 Jul 2026 Job Information Organisation/Company CNRS Department Laboratoire Interdisciplinaire Carnot de Bourgogne Research Field Engineering Physics Technology Researcher Profile First Stage
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the European Research Council and obtained under the ERC advanced grant scheme. See https://www.inshs.cnrs.fr/en/node/5353 , and https://iode.univ-rennes.fr/actualites/gaetan-cliquennois-laureat-dune
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The postdoctoral researcher will develop a novel active remote sensing method for the detection and characterization of stratospheric aerosols by adapting the AEROTYPro/GRASP methodology to observations from
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), A. Rosso (LPTMS), C. Furtlehner, S. Chibbaro (LISN). The postdoc will have dedicated funding for conferences and computing equipment. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8626