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experimental studies, multi-physics and data-driven modelling, explainable AI, and techno-economic analysis to advance the application of digital technologies. This approach supports the transformation
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experimental studies, multi-physics and data-driven modelling, explainable AI, and techno-economic analysis to advance the application of digital technologies. This approach supports the transformation
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Economy group. The positions will be based within the school of Chemistry and Chemical Engineering and will contribute to the digital tool development within two EPSRC funded projects: IDEA: Inverse Design
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About us The “Next-Gen Biopharma Manufacturing 5.0” Prosperity Partnership is a 5-year collaborative programme between UCL Biochemical Engineering and AstraZeneca, jointly funded by EPSRC and
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, Department of Energy and Petroleum Engineering. The position is vacant from March 2026. This is a trainee position that will give promising researchers an opportunity for academic development through a PhD
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Technology, Department of Energy and Petroleum Engineering. The position is vacant from March 2026. This is a trainee position that will give promising researchers an opportunity for academic development
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-quality TVAM printing. Education PhD in polymer, chemistry, materials science and engineering, chemical engineering, or a closely related field (e.g., nanotechnology, biomedical engineering, computational
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systems, thermal energy storage, data-driven building control systems and other novel solutions for the urban built environment sector. This position is to recruit a member of the research team to work on a
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collaborative research activities, preparation of deliverables, and dissemination of results. Required selection criteria A completed PhD in Computer Science, Cybersecurity, Artificial Intelligence, Software
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The position A position in knowledge-driven machine learning is available at the Department of Physics and Technology , Faculty of Science and Technology, within the UiT Machine Learning Group . This position is