3 phd-machine-learning positions at Sorbonne Université in France

Fully funded postdoc position - Decoding the Mechanisms Underlying Metal-Organic Frameworks Self-Assembly

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

Postdoctoral Position in atomistic simulations of diamond rain formation in icy giants

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

Post-doctoral position for the study of zooplankton traits from imaging data (M/F)

imaging instruments and high throughput genomics that informs advanced numerical analysis methods (modeling, statistics, machine learning). Plankton encompasses all organisms roaming with marine currents