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Linguistics, with a degree in Computer Science, Artificial Intelligence, Linguistics or Engineering. Applicants with strong programming skills and interests in language models, interpretability, and human
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following asset criteria: a) Evidence of project leadership, project management, grants or awards; b) Experience in leading collaborations; c) Experience with advanced computing platforms, systems
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of transmission electron microscopes and/or scanning electron microscopes Knowledge of artificial intelligence and machine learning and their applications in electron microscopy Knowledge of computer programming
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. You will need to meet the minimum entry requirements for our PhD programme . You will have a strong interest in audio and demonstrate a high level of academic achievement in relevant subject areas and a
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Equity Fields of Action Networks for Equity Kontakt Team Equity News and publications Back Press Releases attempto online Newsletter Uni Tübingen aktuell University of Tübingen magazine Attempto
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Fully Funded PhD Research Studentship tax-free stipend of £20,870 Design, Informatics and Business Fully Funded PhD Research Studentship Project Title: Behaviour-Based Anomaly Detection
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This project aims to develop outcome measures for early detection of neurodegenerative disorders using artificial intelligence (AI) and various sensing modalities, offering personalised support to
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Kohlenforschung, Mülheim/Ruhr Ruhr University Bochum University Duisburg-Essen Teaching language English Languages The doctoral programme is conducted entirely in English. Full-time / part-time full-time Programme
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use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities are experimentally driven and
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
. This PhD project will tackle that challenge by developing intelligent methods that combine AI techniques such as language models that interpret technical text and knowledge graphs that map engineering