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(or equivalent international qualification ) with a UK master's degree (with an average programme mark of no less than 65%) or international equivalent . Applicants must meet the minimum English language
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, robotics, and machine learning. You will work within a multidisciplinary supervisory team spanning engineering, robotics, and computer science, and collaborate with researchers working on real-world
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with modern machine learning. You will work on extending data-driven models with process-informed constraints and novel data integration strategies. The position is embedded in the Computational
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap
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contribute to the strategic program Polhavet 2050 . Duties of the position Complete the doctoral education until obtaining a doctorate Carry out high-quality research within the framework described above
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clinically meaningful explanations. Finally, the project will develop new evaluation frameworks to assess reasoning quality, robustness, computational efficiency, and real-world clinical usefulness, supporting
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, this enables the development of more accurate computational models for various industrial processes. The experimental methods developed in this project will directly contribute to a better understanding of
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Programme length: Four years (full‑time) Start date: 2026/27 academic year Keywords: biogenic supply chains, sustainable materials, biobased binders, road construction About the Net2Zero Centre for Doctoral
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to reading your application to our PhD Stipend. At the Faculty of Engineering and Science, Department of Chemistry and Bioscience, a PhD stipend is available within the study program of Biology. The PhD
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programme, applicants must have: A Master’s degree (or equivalent); Completed at least 240 ECTS credits, including at least 60 ECTS credits at the Master's level; At least 90 ECTS credits in Economics; At