3 postdoc-machine-learning positions at Uppsala University in Sweden

PhD student in structure-based drug design with focus on machine learning

large family of membrane proteins involved in numerous physiological processes. By leveraging machine-learning enhanced virtual screening, the PhD student will be able to perform searches for ligands in

PhD student in data-driven life science - Chemistry

machine learning methodologies to extract conformational ensembles from single-particle cryo-EM data. The project builds on our recently established (not yet published) software, which machine-learns

Postdoctoral position in in Distributed Machine Learning for Intrusion Detection Systems in the IoT

. Intrusion Detection Systems (IDS) are critical components of an effective IoT cybersecurity defense strategy and machine learning plays a pivotal role in intrusion detection by learning from past and