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Human cognition is highly adaptive and can reason flexibly with new information. A crucial element for this is our working memory: a quick, reliable, and flexible system to maintain information
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
intelligent methods that integrate large language models (LLMs) and knowledge graphs to interpret technical documentation and structure complex engineering knowledge. The goal is to create digital twins
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identities. We value lived experience and community-based knowledge alongside academic achievement. You do not need to be based in the Netherlands before applying, and knowledge of Dutch is not required
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-scale job ads datasets, spatial datasets, patents). Conduct data analysis using econometric and statistical tools. Excellent knowledge of R is expected. Good knowledge of Python, experience with modern
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of neural networks and other symbolic techniques with applications ranging from mathematics to cognitive science, and often in cross-disciplinary collaborations. In this project the PhD student will work
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or materials science & engineering. Knowledge and experience of working with polymers and rubbers/elastomers is a distinct advantage. Funding and Eligibility: UK only Key Information Supervisors
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HPC environments Good communication skills to interact with collaborators ranging from machine learning researchers to pathologists or medical students Knowledge of biology and medicine is a plus Highly
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to the research question including identification of the knowledge gaps, clearly identify the aims of the research and briefly detail the methodology and resources required. If candidates do not have a
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to the research question including identification of the knowledge gaps, clearly identify the aims of the research and briefly detail the methodology and resources required. If candidates do not have a
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research. Independence and dedication to high-quality research. Excellent written, communication and presentation skills. Basic knowledge of fiber-polymer composites. To know more about Dr. Lulu Liu, please