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networks for image analysis; Experience with graph-based methods, and graph convolutional/neural networks; Experience with explainable and interpretable AI (XAI). Rules governing PhD students are set out
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asks how we can understand and properly react to the vulnerabilities refugees experience in the camps. The project develops 1) a theory that better captures the vulnerabilities experienced by refugees
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research in all the aspects of robotics with a specific focus on Aerial and Space robotics. The vision of RAI is aiming in closing the gap from theory to real life, while the team has a strong
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research in all the aspects of robotics with a specific focus on Aerial and Space robotics. The vision of RAI is aiming in closing the gap from theory to real life, while the team has a strong
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Information Technology Are you interested in probability theory, statistics, and mathematical modelling? Would you like to develop new methods for uncertainty quantification and apply these methods to large
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Vision and Learning Systems at the Department of Electrical Engineering (ISY). Your work assignments Within the research unit of visual learning theory, the PhD student will develop methods for
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from around the world. With new knowledge and new perspectives, the University contributes to a better future. At the Department of Philosophy, Linguistics, and Theory of Science (FLoV) within the
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research in all the aspects of robotics with a specific focus on Aerial and Space robotics. The vision of RAI is aiming in closing the gap from theory to real life, while the team has a strong expertise
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the lab include interpretable AI pipelines to study cancer and autoimmunity as well as generative and graph neural network approaches for biological imaging. Qualification requirements In order to be
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involve the use of established methods such as density functional theory and molecular dynamics, as well as the development of machine-learning potentials and Hamiltonians for fast ion transport and