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the synergistic effects between adjacent metal sites, are not yet well‐developped.3 These atomically precise LNCs exhibiting monodispersed sizes and accurately characterized structures are promising catalysts due
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Control for System Engineering department includes the development of methods and tools for optimizing and controlling the dynamic behavior of systems in a wide range of application domains, in
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1,200 engineers, administrative, technical, social, health, and library staff, and more than 1,400 teaching and research faculty. To support its continued development, the University of Tours recruits new
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also have conceptual, empirical, or ethical consequences. Given the ubiquitous role of lineages in biology (central to development, regeneration, stem cell biology, cancer biology, and more), a clearer
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 months ago
analysis. The goal of this thesis is to advance causal AI for wireless networks by developing statistically reliable causal inference tools grounded in recent advances in simulation-aided inference and model
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program should respect the following itemized list of tasks – developing the experimental campaign based on oedometer tests, during the secondment period at Strathclyde University (UK); – calibrating
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expansion of Aedes albopictus in France, increased arboviral risk, and growing demand for robust and transferable operational tools, UMR IDEES is developing spatial modelling and simulation tools for vector
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spectrometry. To do this, we develop cutting-edge, high-performance and robust analytical methods. All of these activities enable PRISMM to claim true originality on a national scale in the study of exposome
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involved in the Trusted Autonomous and Self-Adaptive Systems for Defence (SAACD) project. This project aims to overhaul the engineering and development of this type of complex system. A SAACD can be defined
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the Deeply Virtual Compton Scattering (DVCS)reaction off a neutron. It involves the analysis and interpretation of recently acquired experimental data developing and using MachineLearning techniques. It also