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Luleå University of Technology is in strong growth with world-leading competence in several research areas. We shape the future through innovative education and ground-breaking research results, and
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project TARGET-AI will bring together expertise from multiple research groups to advance the state-of-the-art in combining the most advanced techniques from deep learning/AI with rigorous statistical
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the frameworks. • Elucidation of the effects of coupled confinement of multiple catalytic centers. Requirements • Master's degree in Chemistry or Materials Science. • Experience in organic/metal–organic
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
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develop a comprehensive understanding of the various needs and interests that become inscribed in, or are left out of, technology-centred imaginations of future-care. While speaking to practical concerns
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quality and resilience scores for multiple pharmaceutical products and 2) perform research on the drivers of higher or lower quality risk and resilience. This is a large project with multiple research
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learning (ML) for high-fidelity data ‘stitching’. The integration of data from multiple analytical platforms is critical for advancing the understanding of complex biological and chemical systems. This work
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—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient
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forcing wind turbines offline or heatwaves and droughts reducing cooling water availability for thermal power generation. Of particular concern are compound energy droughts, where multiple stressors occur
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PhD Studentship: Multi-robot Cyber-physical Systems for Solar Farm Health Monitoring and Maintenance
universities (The University of Manchester , University of Glasgow and University of Oxford ). Robotics and Autonomous Systems (RAS) is an essential enabling technology for the Net Zero transition in the UK’s