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of control mechanisms and evaluation methods that hold regardless of which underlying TTS technology is used. This is a core requirement in a field where generative AI models evolve rapidly. We
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Physics ' core activities take place within the framework of six divisions. Our research profiles include basic research, biological physics, materials for energy applications, disordered systems, complex
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. Experience collaborating with technical experts and multi-stakeholder environments. Experience with version control systems such as Git, and reproducible ways-of-working (for example Jupyter notebooks
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the following areas: deep learning, reinforcement learning, imitation learning, robot perception, navigation, and manipulation. Experience with whole-body control, humanoid or multi-DOF platforms, and
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vascular injury. This Unit is situated at the BioClinicum building, in the KI North Campus, it belongs also to the Center for Molecular Medicine and gathers about 15 other PhD students, postdocs, technical
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learning methods to understand and investigate the functional behavior of gender-specific cancers. The work will include: Development of ML/DL methods for multi-omics data analysis. Design and implementation
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) for the doctoral programme in Computer Science, concluding with a doctoral degree. Start date: 1st of May 2026 Project description The multi-disciplinary centre for cyber resilient AI, RESIST, is a national effort
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social robots, as well as how children’s understanding of AI develops over time. The postdoc project is part of the recently established multi-site research group Child Development in the Age of AI and
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application! Work assignments The multi-disciplinary centre for cyber resilient AI, RESIST, is a national effort funded by the Swedish Strategic Research Foundation (SSF) to bring together leading researchers
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-to-End data and model verification Your work assignments The multi-disciplinary center for cyber resilient AI, RESIST, is a national effort funded by the Swedish Strategic Research Foundation (SSF