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on the study of the various mechanisms involved in ZnO growth. One objective is to identify the key mechanisms, particularly those related to the different ion fluxes involved. A molecular dynamics approach
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remains largely unexplored and represents a fascinating frontier for molecular computing. The development of new methods will be necessary to enable the manipulation of data within complex molecular
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university's main campus, IPBS benefits from a dynamic scientific environment within one of France's leading hubs for health sciences and biology. Further information is available at https://www.ipbs.fr
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sarcoplasmic reticulum (SR) with sarcomeres. This will require real-time imaging of the dynamics of these three organelles during flight muscle morphogenesis, as well as high-resolution optical and electron
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develop molecular biology tools (cloning, mutagenesis, etc.) required for microscopy experiments - Use standard cell biology and biochemistry protocols for sample preparation (transfection
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microbial hosts and viruses, as well as their impact on GHG emissions. The project will rely on both molecular approaches to detect viruses and their microbial hosts, and analytical measurements of CO₂, CH
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(pure and metal-doped) and carbon chains in supernova ejecta. • Apply molecular dynamics (MD) methods to simulate the formation of alumina agglomerates. • Use ab initio wave function methods to model
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, ideally molecular dynamics and/or DFT. Scientific programming skills, particularly in Python, are expected. Familiarity with machine learning or generative AI methods applied to materials would be a strong
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and single-molecule localization microscopy, with the aim of enabling dynamic observation of living biological systems and nanostructures. This research lies at the interface of physics, physical
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, while preserving ultimate precision in single-molecule localization and access to key photophysical parameters (fluorescence lifetime, brightness, molecular dynamics). This approach paves the way toward