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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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, 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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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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) the creation of new-based DNA nanostructures as a molecular template to hold proteins to facilitate molecular imaging by single-particle Cryo-Electron Microscopy (Cryo-EM) (2) the development of DNA-based nano
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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
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laboratory recognized for its expertise in molecular chemistry and functional materials. The work will be conducted in close interaction with permanent researchers, engineers, PhD students and external
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criteria • PhD in Physical Chemistry, Physics, or a closely related discipline • Strong hands-on experience with ultra-high vacuum (UHV) systems, infrared spectroscopy, cryogenics, and/or molecular beam
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solid experience - in cell culture - in flow cytometry - in molecular biology - in single-cell transcriptomics The candidate (M/F) should hold a PhD in immunology or molecular/cell biology. The candidate