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to identify suitable MOFs and their synthesis conditions; • Synthesizing pre-selected MOFs using conventional methods (solvothermal, hydrothermal, or ambient-pressure synthesis); • Performing structural and
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team, where the agent will work under the supervision of a CNRS researcher and interact with researchers and students at different levels, including BTS, Bachelor's, Master's and PhD students. The agent
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theory and/or agent-based models) to formalize strategic interactions involving algorithmic pricing technologies. • Empirical analysis of real-world pricing data (e.g. e-commerce platforms) to detect
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part of a research project dedicated to the development and characterization of Antibody-Radionuclide-Drug Conjugates (ARDCs). ARDCs represent a new generation of therapeutic agents combining
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to address the deployment limitations of multi-purpose robots in shared environments. Rather than a single monolithic controller, the robot is treated as a network of collaborating semi-autonomous agents (a
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program on Working Package 3, which focuses on a demonstrator illustrating the application of the mathematical theory of multi-agent viability in monetary economics. Designing a Model for Applying multi
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the results. The team's research focuses primarily on priority respiratory pathogens (SARS-CoV-2, influenza, RSV), but it is also possible to analyze available data on other infectious agents (papillomavirus
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. The doctoral student will be responsible for developing and validating experimental protocols to overcome Pa(V)'s strong tendency to polymerize in the absence of a strong complexing agent and even in an acidic