27 learning scholarships at Umeå University

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

The Department of Mathematics and Mathematical Statistics is opening a PhD position in mathematics or mathematical statistics, focusing on geometric deep learning. The position covers four years

PhD position in Mathematics focusing on geometric deep learning

the WASP AI program, focusing on geometric deep learning. The position covers four years of third-cycle studies, including participation in research and third-cycle courses. The last day to apply is 10 June

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-student

education to enable regions to expand quickly and sustainably. In fact, the future is made here. Are you interested in learning more? Read about Umeå university as a workplace Description of work About the

PhD-student

education to enable regions to expand quickly and sustainably. In fact, the future is made here. Are you interested in learning more? Read about Umeå university as a workplace Description of work About the

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

PhD student in Business Administration with a specialization in finance

the second year, students are expected teach and carry out other school tasks which correspond to 20% of the working hours. Thus, the employment is thereby equally prolonged. For more information about