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. Chan, “When edge meets learning: Adaptive control for resource- constrained distributed machine learning,” in IEEE INFOCOM 2018- IEEE conference on computer communications. IEEE, 2018, pp. 63– 71. [3] G
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the influence of the presence of different types of natural spaces in different contexts (coastal, mountainous, etc.) on urban forms. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR6266-REMLEM
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etiology of human pathologies in order to inform public health strategies. Further details regarding the ONCOPLAST project and the profile of the prospective doctoral candidate are available at https
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, Microelectronics and Nanotechnology (UMR CNRS 8520 – https://www.iemn.fr/en/ ) is located in Villeneuve d'Ascq, near Lille, France. With a total staff of over 500, the institute has a broad research scope ranging
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and to characterize interactions with fire regimes. Ultimately, these results will also contribute to a combined paleo-modeling approach at the core of the RETROPEST project (https://anr.fr/Projet-ANR
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allowance of up to €300/year A site accessible by public transport + private parking Financial contribution to health insurance costs Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5278-ANITLI
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insurance costs Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5278-ANITLI-008/Default.aspx Requirements Research FieldEngineeringEducation LevelPhD or equivalent Research FieldChemistryEducation
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of Brice Bathellier (Institut Audition), Virginie van Wassenhove (NeuroSpin), and Mehrdad Jazayeri (MIT). Where to apply Website https://emploi.cnrs.fr/Offres/CDD/SNC9138-SRDOST-010/Default.aspx Requirements
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motivation letter to wolfgang.bacsa@cemes.fr and emmanuel.soubies@cnrs.fr . A formal application must also be submitted via the https://emploi.cnrs.fr/CNRS portal. However, we strongly encourage prospective
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Modelling & Software 193, 106580. https://doi.org/10.1016/j.envsoft.2025.106580 Delestre, O., Rousseau, M., Razafison, U., Laguerre, C., Darboux, F., Lucas, C. FullSWOF_2D software, swhid : swh:1:dir