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, Communication, Optimization • SyRI: Robotic Systems in Interaction The PhD student will join the CID team, whose research focuses on Artificial Intelligence, including statistical learning, uncertainty management
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, Uncertainty, Data SCOP: Reliability, Communication, Optimization SyRI: Robotic Systems in Interaction The recruited postdoctoral researcher will join the CID team, whose research focuses on Artificial
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of optimal plasma parameters (exposure time, power, gas composition) before their application to more complex cellular models. In a second stage, the PhD student will develop models of chronic infected wounds
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the structure of the BMP1/PCPE2 complex by cryo-electron microscopy with the help of previously developed Nanobodies® to stabilize flexible regions. Finally, we will engineer an optimized inhibitor of BMP1 with
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. This will be made on different Cu-FR4-Cu laminate test-structures with a FR4 thickness ranging between 35 to 100 μm. A preliminary assembly process optimization will be performed (e.g., temperature
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on the development of materials and processes and is divided into two axes. The first axis aims to improve the most promising state of the art cell materials by optimizing their compositions, microstructures and
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tests to evaluate the effectiveness and ease of use of the selected tools in the context of high-throughput analysis, - determining, implementing, and applying optimal strategies for data analysis