5 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

2-years post-doc position in neuro-computational AI ethics

machine learning. Significant experience in cognitive architectures and computational modeling for neuroscience, psychology, AI or cognitive robotics will be appreciated. Mastery of reinforcement learning

Postdoctoral researcher

such as water-in-salts is not correctly captured by simple analytical interatomic potentials. For these reasons, we propose to deploy a machine learning approach to accelerate our simulations. The aim