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at least one molecular dynamics package. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7019-EMMBIG-005/Default.aspx Work Location(s) Number of offers available1Company
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of configurations generated in silico as well as their thermodynamic, dynamic (phonon), and mechanical properties, and performing DFT/MLIP NpT and NVT molecular dynamics simulations. - Analyzing and exploiting
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related), molecular dynamics (GROMACS, NAMD) and docking (VINA and derivatives). - Proficiency in Python and Fortran languages and Bash scripting. - Proficiency in RDKIT and BioPython. - Proficiency in
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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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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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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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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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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