15 machine-learning-phd 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 Biomedical Engineering with focus on machine learning for organs-on-chip

. For this position, a PhD in computer science, signal processing, applied mathematics, machine learning, biomedical engineering, or an equivalent degree in a related field is required. We require documented knowledge

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

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

Associate Professor in mathematics with specialization in homogeneous dynamics

development of society in general that is important for the work at the university. Qualifications Required: PhD in mathematics. Research Expertise and Teaching Expertise. It is necessary that the pedagogical

PhD positions at the Department of Economic History

English in speech and writing. Applicants not fluent in Swedish are expected to learn Swedish during their time as PhD-students. For some specific projects, it may be a required that the applicant masters

PhD student in Social Cybersecurity

machine learning are valued. Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in Uppsala University's rules and guidelines . Application The application must

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

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