-
analysis, work with large language models, network analysis, causal inference in machine learning and agent-based modelling. Experience in collecting, curating and analyzing large digital datasets with
-
analysis, work with large language models, network analysis, causal inference in machine learning and agent-based modelling. Experience in collecting, curating and analyzing large digital datasets with
-
curious and motivated postdoc with a PhD in biomedical engineering, physics, materials science, organic chemistry—or similar—and a drive to explore new frontiers in science. 👉 Learn more and apply here
-
part of the Swedish Research Council (Vetenskapsrådet)-funded project “PolyKinetics” and is based in the Laboratory of Organic Electronics at Linköping University, Sweden. As part of this project, you
-
application! Work assignments Subject area: Computational studies of the influence of microstructural features on the structural integrity of metallic materials using machine learning Subject area description