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on the adsorption mechanisms of these molecules on the metallic surfaces. In this PhD project we will use state-of-art molecular simulation methods [2,3] to clarify the adsorption and desorption mechanisms of various
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detection by mass spectrometry, by combining molecular dynamics simulations and experiments (Figure 1).1-5 The present PhD thesis will investigate the effects of additional specific ions in fluid samples
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from E. coli using molecular simulations to understand electron transfer between the second heme b and heme d [4]. To this end, we performed molecular dynamics simulations of the protein within a
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systems (LIED, Université Paris Cité), experts in classical atomistic simulations (molecular dynamics and coarse-graining, LMCE, CEA/DAM/DIF), as well as specialists in continuum simulations (finite element
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 19 hours ago
(graph neural networks and transformers) The objective is to learn conformational heterogeneity directly from molecular dynamics simulations and to identify and predict allosteric communication pathways
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at the molecular scale. Grand Canonical Monte Carlo (GCMC) simulations will be performed to predict adsorption isotherms and selectivities. Molecular dynamics simulations will be used to investigate diffusion
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nm) and over long timescales (10-100ps). To meet these objectives this project aims to further develop our recently introduced non-adiabatic molecular dynamics simulation method, termed excitonic state
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an enthusiastic, proactive, and collaborative biologist to join Prof Witney’s Group in the School of Biomedical Engineering & Imaging Sciences, King’s College London. You will join a dynamic and successful
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, Ultra-cold gases, quantum optics, and quantum information , ultracold quantum gases , Ultrafast Molecular Dynamics , Ultrafast Physical Chemistry , Ultrafast Science , Unconventional and topological
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polarization (M1–M2 continuum and activation states). Bacterial phenotypic heterogeneity (replication, dormancy, intracellular survival). Integrate single-cell transcriptomic data to build molecular dynamical