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for prevention. Today’s clinical practice often relies on subjective assessments and observations. However, advanced commercial sensor technologies combined with artificial intelligence offer new opportunities
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Master’s degree in Data Science, Artificial Intelligence, Computational Linguistics, Computer Science. Has excellent academic writing and oral skills in English. Has experience with large language models
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, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors
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and/or interest in the following relevant fields: artificial intelligence and cybersecurity. The candidate will have the opportunity to work on a collaborative project with a leading industry in
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tuition fees. This PhD project in the area of autonomy, navigation and artificial intelligence, aims to advance the development of intelligent and resilient navigation systems for autonomous transport
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and/or interest in the following relevant fields: artificial intelligence and cybersecurity. The candidate will have the opportunity to work on a collaborative project with a leading industry in
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Supervisor’s full name & email address Dr Yixue Shen: Y.Shen1@leeds.ac.uk Co-supervisor name & email address Professor Christine Unterhitzenberger: C.Unterhitzenberger@leeds.ac.uk Project summary Artificial
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readiness levels. Additionally, your work will directly support the FAIR-AI flagship project for the Austrian Artificial Intelligence Mission AIM 2030, ensuring your research generalises and gains high
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artificial 3D environments. Specifically, this project focuses on two fundamental aspects of human language that give rise to language’s unparallel expressive power – namely its grammatical structure and our
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | 9 minutes ago
. Preferred qualifications: D. in Quantitative Genetics/Genomics, Computational Biology, or Related Discipline. Skilled in single-cell transcriptomic analyses, machine learning and artificial intelligence