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faculty in developing theory and application tools for artificial intelligence (AI), and training efficient data analytics. 60% - Leading research in AI will include generative models, algorithms and
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of the heart’s electrical activity, often caused by complex changes in heart tissue. Understanding and treating arrhythmias effectively remains a major challenge. Recent advances in artificial intelligence (AI
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of academic staff as a 1.0 FTE Lecturer in Artificial Intelligence. We are seeking to recruit as soon as possible and in time for the 2025-2026 academic year, and the post will be fixed-term for 18 months in
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We are seeking an outstanding, creative researcher with the skills to develop novel, ‘artificially intelligent’ approaches to the application of nanofabrication techniques – see, for example https
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MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE | Ae Village, Scotland | United Kingdom | about 1 month ago
Description Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is looking for passionate and highly motivated faculty. The successful candidates will be responsible for delivering high
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software tools The development and validation of machine learning and artificial intelligence models focused on representing the structural response Physical experimental testing for structural and
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Drive strategic foresight and long-term planning in emerging technologies with a time horizon of 10 years (e.g. AI, Quantum Technology, Artificial General Intelligence, Sustainable Energy, Autonomous
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of Artificial Intelligence). General Requirements Candidates should have (i) a PhD degree in Data Science, Artificial Intelligence, Computer Science, Computer Engineering, or a relevant discipline; (ii) a good
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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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(ML), artificial intelligence (AI), and aging research. The successful candidate will contribute to a research program aimed at understanding the causal relationships between Alzheimer's disease