4 learning positions in Sweden

Doctoral Student in Energy Sciences - COMPEL with focus on CFD and Data-Driven Modelling of Batteries

methods, such as machine learning, to study thermal runaway, venting processes, and the microscale mechanisms that can lead to battery failure. This research aims to significantly improve the predictive

Postdoc position in Human Body Modelling for Injury Prevention

expected to work with VIVA+ Developer Team and other contributors across various universities and organisations. The work will also include implementing machine-learning based workflows to extract crash

PhD student positions in theory and modeling of fusion energy experiments

, a combination of theory, numerical modeling and the application of machine learning for reduced physics and surrogate models are used. The research will be performed in an international environment

Postdoctoral position in Few- and Many-Body Quantum Physics

. The position includes the opportunity for three weeks of training in higher education teaching and learning. The purpose of the position is to develop the independence as a researcher and to create