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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 21 hours ago
complexes. The successful candidate will develop novel graph neural network (GNN) architectures to learn dynamic information from molecular dynamics (MD) simulations of protein-protein and protein-nucleic
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the light of the experiments. - Stochastic simulation of a noisy dynamics associated with the ODE. - Reiteration and redesign of the experimental part. Related activities : Writing reports in form
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deformation behaviors. This will be supported by numerical simulations developed by the LEM where nanoindentation simulations at the atomic scale will be performed by Molecular Dynamic (MD) as well as finite
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years. Core competencies: ● Solid experience with molecular dynamics (MD) simulations and classical force fields (e.g., LAMMPS, GROMACS). ● Familiarity with polymer and ionic systems, surface interactions
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plasmodesmata (Bordeaux, Bayer) and in protein/membrane interaction by molecular dynamic simulation (Taly, Paris). To gain mechanistic insights into MCTP action and ER tubularization at PD, the post-doc will use
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amorphous ice matrices, evolve from molecular clouds through star-forming regions to planetary systems. Laboratory simulations under astrophysically relevant conditions will provide key insights
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at the interface between two teams with expertise in plant cell biology and plasmodesmata (Bordeaux, Bayer) and in protein/membrane interaction by molecular dynamic simulation (Taly, Paris). To gain mechanistic
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performing DFT/MLIP molecular dynamics simulations; - Analyzing and exploiting results, as well as writing activity reports and scientific publications and presenting results at conferences and working groups
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contribute to various aspects of the project, such as: - developing new theoretical approaches to model electrode/electrolyte interfaces - performing molecular simulations, such as molecular dynamics
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organic molecules in astrophysical environments—from cold interstellar ices to the early stages of planetary systems. The successful candidate will contribute to experimental studies simulating interstellar