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proficiency in Python. Knowledge in Statistical physics and Network science, and interest in complex networks and interdisciplinary research are a plus. The position is for 3 years, and will be located
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chronic inflammatory disease. These diseases affect 33%, 60%, 10% and 33% of Europeans, and are responsible for >60% of global deaths. The European Doctoral Network LipidBRIGHT combines scientists
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, cultural and professional institution. Member of the Ecoles Centrales group and the Écoles Nationales d’Ingénieurs network,ECL trains high-level generalist engineers, specialized engineers, masters students
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AI researchers from ANITI, IMT and CERFACS, as well as with researchers/engineers in weather forecastings from the CNRM (Météo-France). Hybridization methods between neural networks and physical models
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. It is questionable whether orthogonal frequency division multiplexing (OFDM) used in 4G/5G is still adequate for sub-THz/THz frequency bands due to complexity issues [4,5]. Howewer for the single
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). These instruments exploit contrast variation, a powerful neutron technique, to resolve molecular-scale structures at complex interfaces invisible to other probes. The aim of the PhD project is to understand
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to the activities of the SIR-V2G project wich primary objective is to address the challenges arising from the large-scale integration of electric vehicles (EVs) into distribution networks by developing smart
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researcher will be responsible for advancing the core research streams of the ERC LEARN project. Key responsibilities of this role include: ● Preparing complex data for analyses ● Conducting advanced
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(Position P): Agricultural AI data integration and management based on LLM In the context of the MSCA JD project GreenFieldData https://www.eu4greenfielddata.eu/ GreenFieldData: IoRT Data Management and
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, or highlights certain sound sources in complex scenes, and determining how these processes are modulated by context (noise, multiple sources, attention). Where to apply Website https://emploi.cnrs.fr/Candidat