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staff position within a Research Infrastructure? No Offer Description Reference number ORU 2.1.1-07580/2025 We are looking for a postdoctoral researcher in Embodied Learning for Underwater Robotics for a
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Ref no: ORU 2.1.1-07580/2025 We are looking for a postdoctoral researcher in Embodied Learning for Underwater Robotics for a fixed-term position at the School of Science and Technology. The
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description A central challenge in machine learning is ensuring
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application! We are now looking to appoint a postdoc in the field of AI and machine learning with a focus on scientific applications. Work assignments The primary focus of the postdoc positions is research in
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strong computational–experimental feedback loop central to the project. Subject description Recent breakthroughs in deep learning–powered protein design, recognized by the 2024 Nobel Prize in Chemistry
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Hoppa direkt till innehållet Internt tekniskt fel Något gick tyvärr fel under hämtningen av sidan. Den här typen av fel brukar vara tillfälligt, så försök gärna igen om en stund. Du kan också försöka gå till Startsidan Internal server error We're sorry, something went wrong when we tried to...
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prior to the application deadline Research experience with deep learning architectures (e.g. Transformers, diffusion models, graph neural networks) applied to multimodal data. Proven expertise in time
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–experimental feedback loop central to the project. Subject description Recent breakthroughs in deep learning–powered protein design, recognized by the 2024 Nobel Prize in Chemistry, have enabled the creation
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/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We focus on data-driven models for complex and temporal data
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description and working tasks The project will develop privacy-aware machine learning (ML) models. We focus on data-driven models for complex and temporal data, including those built from synthetic sources