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optimization code used, particularly for automated transition state searches. • Perform molecular dynamics simulations to estimate thermodynamic/macroscopic properties. IPREM brings together over 300 staff
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cellular biology approaches, this project aims to identify the fundamental molecular and physical principles governing lipid homeostasis and organelle dynamics. The project is based on an interdisciplinary
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with surface science. Experience with molecular dynamics simulations and at least basic knowledge of machine-learning approaches for atomistic modeling are highly desirable. Skills in Python and
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high-resolution microscopy • Mammalian cell culture and genetic manipulation • Molecular and biochemical assays • Quantitative analysis of intracellular trafficking dynamics The project will be carried
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collective dissipative dynamics in quantum emitter systems (such as cold atoms) strongly coupled to a driven cavity, while accounting for motion-related degrees of freedom. The focus will be on developing
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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
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aims to understand the dynamics, functioning and evolution of living organisms. The work will involve interaction with members of the ANR ECOPATHS and IPEV ECOPATH projects, carrying out work in the
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lifetime microscopy 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
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presence or absence of TSPANC8 proteins. ADAM10 dynamics, as measured by SMT, will help to understand this molecular landscape. This project is funded by an INCA French grant. References - Fernandez et al