11 machine-learning positions at Umeå University in Phd

PhD student in Computing Science with focus on machine learning for continuous and discrete structures

education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Computing Science is now looking for a Doctoral student in machine learning for continuous

PhD student in Computing Science with focus on machine learning for continuous and discrete structures

education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Computing Science is now looking for a Doctoral student in machine learning for continuous

PhD position in mathematics or mathematical statistics, with focus on geometric deep learning

of third-cycle studies, including participation in research and third-cycle courses. The last day to apply is August 26th 2024. Project description and tasks Machine learning (‘artificial intelligence’) is

PhD student in Computing Science with focus on data privacy

://www.umu.se/en/department-of-computing-science/ Is this interesting for you? Welcome with your application before 2024-06-21 Project description The project will develop privacy-aware machine learning (ML

PhD student in Computational Science with focus on High-Performance Computing

the study of quantum many-body systems to autonomous driving and to explainable machine learning models. Computations with tensor networks present two main challenges: 1) The order in which nodes

PhD position in Mathematics focusing on geometric deep learning

of topics in modern machine learning research, including geometric deep learning, non-convex optimization problems and federated learning. In addition, this project is deeply connected with

PhD student in Computing Science with focus on Cybersecurity

or stealthy DDoS attacks is unexplored in the cloud-edge continuum. Where machine learning (ML) is deployed both for optimising performance (benign adaptation) and attack detection (DDoS), security researchers

PhD Student in Medical Science

of injuries to the upper extremity supported by machine learning and neural networks. The position is an initiative within the framework of the research initiative "Learning and brain plasticity throughout

PhD position in Computational Sciences within the national Data-Driven Life Sciences program

or what heuristics organisms might evolve. This research project is a collaboration between Eric Libby and Laura Carroll. It involves using machine learning techniques to infer the mechanisms by which

1 to 2 PhD student/s in Computing Science with focus on Interactive Systems that Reason Spatially

Machine learning Candidates are expected to have good knowledge in Artificial Intelligence and good programming skills in some of the following: Python, PyTorch library, OpenAI-Gym, Prolog, ProbLog, Answer