Sort by
Refine Your Search
-
Employer
-
Field
-
molecular simulations, machine-learning techniques, and statistical mechanics for research opportunities in: Development of data-driven schemes for the discovery of slow degrees of freedom Molecular
-
Council. He or she will gain expertise in multi-scale molecular dynamics simulations, enhanced sampling techniques and application of machine- learning techniques to analyze simulation data, all applied
-
developing a protocol gathering an array of state of-the-art computational techniques: ab initio methods, molecular dynamics, enhanced sampling techniques (metadynamics, umbrella sampling) and machine learning
-
project. - Development of NMR pulse-sequences - Development advanced NMR processing schemes - Programming and Simulation - NMR characterization of large protein complexes - Dynamics studies of large protein
-
will be modelled by Density Functional Theory (DFT)-based Ab-initio Molecular Dynamics (AIMD) simulations to confidently predict the properties of the aerogel. The candidate will work at the RAPSODEE