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, the candidate will work on optimizing the fusion process of optical fibers made of dissimilar materials (silica/fluoride glass), or of the same fluoride glass material but with different geometries (passive fiber
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their formation, and the process optimization in relation to the target applications. Another key challenge relies on the source of energy for the graphitization. The conventional heating during the catalytic
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focus on understanding the role of retinoic acid signaling in cardiac valve development and regeneration using the zebrafish model. • Develop transgenic and mutant models • Analyze cardiovascular
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Post-doctorate position (M/F) : Exascale Port of a 3D Sparse PIC Simulation Code for Plasma Modeling
to exascale architectures an initial 3D simulation code developed as part of previous work [1]. This work will initially focus on scaling up (distributed memory), optimizing CPU algorithms (vectorization) and
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Process: designing, preparing, shaping and characterizing materials in order to discover, control and optimize specific functions. The ICMCB carries out fundamental research on model materials and/or
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RNAvac project (2023-2027), which aims to optimize mRNA vaccine formulations using preclinical models. Responsibilities include: - Developing and implementing experimental protocols in biology and animal
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Optimization Exploring Innovative Designs for Broadband Topological Operation The project is supervised by Alberto Amo and Gaëtan Lévêque at the University of Lille in France. We have a long-standing expertise
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researcher to contribute to a project focused on optimizing light diffusion in phase-separated glasses. These glasses, characterized by the coexistence of multiple glassy phases, exhibit a nanoparticle-in
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l'Environnement et de l'Espace (LPC2E, Orléans), we work together in a long-standing partnership to develop a miniature magnetic field sensor with a detectivity as low as 0.1 - 1 pT/sqrt(Hz). The sensor we propose
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biological systems. The research will involve: Development and optimization of AFM techniques for high-resolution imaging and mechanical characterization of biological samples. Integration of AFM with