19 machine learning positions at Uppsala University in Sweden

Postdoctoral position in Biomedical Engineering with focus on machine learning for organs-on-chip

initiated to explore how machine learning and the combination of different types of data (optical and electrical) can be utilized to improve decisions during on-going experiments as well as its potential

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

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

Associate Professor in mathematics with specialization in homogeneous dynamics

completed during the first two years of employment. Documented ability to teach in Swedish or Englishis a requirement unless special reasons prevail. Personal capabilities necessary to carry out fully

Research assistant

subject. Completed project in single cell analysis of cell painting data. Experience with multivariate methods, supervised and unsupervised machine learning including deep neural networks and self

Postdoctoral Researcher in Archaeology at the Center for the Human Past

doctoral students active on both campuses. Learn more about the Department here: https://www.uu.se/institution/arkeologi-och-antik-historia . Center for the Human Past The CHP is a pioneering initiative that

Associate Professor in Physics with specialization in Quantum Matter Theory

circumstances apply, this training for teachers in higher education may be completed during the first two years of employment. Documented ability to teach in Swedish or English is a requirement unless special

PhD student in social robotics with focus on large language models and cybersecurity

user studies are valued. Experience with large language models and machine learning for human-robot interaction is valued. Rules governing PhD students are set out in the Higher Education Ordinance

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 multi-scale modelling of electrochemical interfaces in high-rate energy storage systems

applies finite-field density functional theory (DFT)-based and machine learning (ML)-accelerated molecular dynamics (MD) simulations recently developed and applied in the TeC group at Uppsala (https://tec