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journals and presentations at conferences. - Collaboration with interdisciplinary research teams as part of the CERTAINTY project. - Optimization and documentation of modeling configurations for future
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of studying and optimizing the microstructural and mechanical properties of granular materials bonded by a solidified foam, within the framework of the ANR project BONDINGFOAM. This mission is structured around
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interaction research. The postdoctoral researcher will contribute to the design and optimization of biomaterials, their biological characterization and the functional validation of the developed models
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simulate a refined batch of synthetic data. For each batch, the postdoc will estimate Bayes optimal error, an important guide for realistic goals for deep learning. The first batch of synthetic data will be
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optimize protocols for chemical synthesis and electrochemical functionalization of porphyrin macrocycles Synthesize porphyrin-based materials by electropolymerization Participate in the installation of a new
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to optimize performances. The postdoc will carry out structural and morphological characterizations (X-ray diffraction, TOF-SIMS, AFM, and microscopy) of the selected superconducting materials. In the second
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characterization of the wireless link (power + sensing) - Design and optimization of sensor-resonator coupling - Participation in in vitro and ex vivo testing We are seeking highly motivated researchers to join our
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entanglement using ultrashort charge wavepackets • Exploring the frontiers of THz quantum nanoelectronics as well as in the nanofabrication of advanced quantum devices which includes • Developing and optimizing
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computational tools (mainly in-house LBM code) for multiphysics simulations involving: heat transfer multiphase flows sorption kinetics The overall objective is to improve the understanding and optimization
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: • establish and optimize a targeted CRISPR screen of LCCL-domain protein genes ; • generate and analyse genetically modified Cryptosporidium lines ; • develop robust phenotyping assays to identify candidate