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collaborative research project on the topic of neuromorphic photonics using organic materials. Research activities include: - Design and modeling of integrated photonic components using electromagnetic simulation
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the growth of carbon chains. • Collaborate with astrochemists and observers to validate theoretical predictions. This position will focus on modeling dust production in supernova explosions, a key process for
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analysis of the ATLAS experiment data. The L2IT team plays a driving role within the ATLAS collaboration for the reconstruction of charged particle tracks using geometric deep learning (GDL). The person who
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and speaking) -Being rigorous, efficient and autonomous -Excellent ability to work collaboratively in a team Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR8079-TATGIR-024
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-resolution characterization of their structure and chemical composition. The project will be carried out in close collaboration with the other partners of the LIZA consortium, who are responsible for zeolite
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these predictions through targeted atomistic simulations. They will also contribute to the writing of scientific results and to exchanges with the project collaborators. The work will be carried out
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, climate, and atmospheric remote sensing. The successful candidate will join the Large-Scale Pollution research team within the Spectroscopy and Atmospheres group and will work in close collaboration with
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, or optimization**, connected to **artificial intelligence** and the research of **Antonin Chambolle** and his collaborators at CEREMADE. The position is a research position. The candidate will interact mainly with
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of advanced instrumentation solutions in close collaboration with academic and industrial partners, with the objective of increasing the technology readiness level towards operational applications. Where
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(“Principal Investigator”) and Dr. Stéphane Bellemin-Laponnaz. Collaborations with other partners of the consortium are ongoing that will allow the candidate to carry out research stay for complementary