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propagation problems, stochastic partial differential equations, geometric numerical integration, optimization, biomathematics, biostatistics, spatial modeling, Bayesian inference, high-dimensional data, large
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, from medical imaging—where we design advanced tools for diagnosis and decision support—to general vision tasks such as autonomous navigation, image-based localization, 3D reconstruction, and object
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gathering knowledge about the diverse physical and geometric properties of objects and dynamic changes in the environment. This involves leveraging rich sensory data—such as vision and touch—encoding
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aluminium in high-value products produced by mega-casting. The main objective of the PhD project is to develop a finite element analysis (FEA) framework that can accurately predict the mechanical properties
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, unfortunately, remain largely unexplored. This project envisions Bifröst, secure networks built for distributed AI training. Our objectives include identifying novel network attacks against distributed AI
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. This project will explore techniques to secure these systems against novel network-level attacks. Key objectives include developing secure communication protocols, analyzing vulnerabilities in peer-to-peer and
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waste biomass. Catalytic hydrotreatment, which will be the focus of this project, is a very strong technique that can be used to produce renewable chemicals and fuels. The objective of the project is to
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collaboration between the AIXLab@Chalmers and Sahlgrenska University Hospital. At the AIXLab, our primary objective is to develop technical solutions that enhance the usability of AI. In partnership with