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operating conditions. Project description This position is also closely related to the Vinnova competence Centre for III-nitride technology, C3NiT (c3nit.se). The project involves designing advanced circuits
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This position is also closely related to the Vinnova competence Centre for III-nitride technology, C3NiT (c3nit.se). The project involves designing advanced circuits and systems based on III-V and CMOS process
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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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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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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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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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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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: Development of ML/DL methods for multi-omics data analysis. Design and implementation of computational tools and software for cancer risk prediction. This position offers the chance to engage in cutting‑edge
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31 Jan 2026 Job Information Organisation/Company Umeå Plant Science Center Research Field Biological sciences Researcher Profile Recognised Researcher (R2) Application Deadline 27 Feb 2026 - 23:00
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the Faculty of Engineering, in our well-equipped laboratories at the Biomedical Centre at Lund University. You can find more information on our research website . We care about creating a positive, respectful