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of the PRCI project entitled LUCAS (Leverage External Data for Enhanced Understanding and Causal Attribution of Anomalies in Water Network Systems). The research activities will be carried out at the Centre de
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achieved in fabrications of coupled double-drum resonator networks, financially supported by EU project Chist-ERA NOEMIA and French ANR-MORETOME projects. A simple reservoir computing function and training
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the development of advanced digital infrastructures, such as next-generation networks (6G and beyond), as well as the vulnerability of businesses and consumers to these risks. Context and Scientific Objectives
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. The successful candidate will also participate in data analysis, dissemination of research results through scientific publications and conferences, and technology transfer activities. Design and fabricate three
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quantify intraspecific and interspecific interactions, taking into account environmental, spatial and temporal variation. TASKS: The work is based on data analysis and modelling approaches. An initial phase
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with LP2M teams (immunology, iPSC models) as well as from the project's international clinical and scientific network (Prof. Claus Peter Schmitt, Heidelberg; UCA GenomiX and MICA platforms, Nice
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needed for wet-bulb temperature retrieval -Co-locating satellite data with ground-based HadISD stations -Running neural networks and finding the architecture best suited to a case study on India
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infrastructures such as future-generation networks (6G and beyond). Context and Scientific Objectives : Digital technologies fundamentally transform competitive interactions by enabling firms to rely on automated
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or she will design and implement databases dedicated to the storage, annotation, and analysis of viral sequences, ensuring their interoperability with remote systems (secure servers, HPC clusters
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transformation. • Experience in coordinating interdisciplinary or multi-stakeholder projects. • Excellent writing, analysis and synthesis skills. • Relational ease, autonomy, ability to work in a network