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Field
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of the Law, Policy and Engineering (LPE) Initiative in the College of Engineering, is recruiting for a one-year Science & Technology Policy Fellowship focused on Artificial Intelligence (AI). The STP
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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for faculty positions in mathematics and related interdisciplinary areas, including but not limited to: Computational and applied mathematics; artificial intelligence for sciences (especially biomedical science
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, Artificial Intelligence/Machine Learning, Materials Science, Systems Engineering, and Sustainability Strong computational and programming skills An innovative, solution-oriented mindset and the ability to work
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from sensors or other continuous data sources. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages
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development. This position sits at the intersection of artificial intelligence, human genetics, and safety assessment, supporting AbbVie's commitment to leveraging genetic insights to improve clinical success
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focus of the position is on application and advancement of modern artificial intelligence (AI) methods in drug discovery and development. An ideal candidate will have strong background in machine learning
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progress in machine learning and artificial intelligence, the successful candidate will have primary responsibility to develop, implement, and test multimodal machine learning algorithms to analyze and
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of affirmative action to eliminate or mitigate artificial barriers and to increase opportunities for the recruitment and advancement of qualified minorities, women, persons with disabilities, and
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-edge projects aimed at improving sustainable transportation networks using advanced computational techniques, data analysis, and artificial intelligence. We seek candidates specializing in the following