3 machine-learning Postdoctoral positions at Helmholtz in Germany

Postdoc - Modelling of superconducting qubit circuits with machine learning techniques

specializes in integrating machine learning techniques with circuit QED theory to identify optimal regimes for hardware control and development. With their exceptional skills in device modeling, the team

Postdoc / Group Leader – Neutron Scattering in Energy Materials

dynamics of energy materials on the atomic and mesoscopic scale using neutron methods, complementary X-ray experiments and support of further techniques including computer simulations Synthesis and

Postdoc - Computational Physiology

proteins Experience in molecular dynamics simulations, free energy calculations, machine learning/deep learning, Markov State Models, docking, or related areas Knowledge of at least one programming language