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also offers a one-year MA program in government with a specialization in diplomacy and conflict studies and a two-year MSc in machine learning and data science. Various faculty and staff of RU and the
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artificial intelligence and machine learning (AI/ML) models that predict therapeutic response, identify clinically actionable patient subgroups, and support personalized treatment strategies. Through
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area to be taught beyond the normal learning period/generally 4 years. Teaching experience preferred. DUTIES AND RESPONSIBILITIES: Develop course of study and conduct training program in specialty area
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 22 hours ago
with related fields, including marine biogeochemistry, physical oceanography, environmental genomics, remote sensing, ecological modeling, and/or data science (AI and machine learning). We
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of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools
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of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools
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, emerging instructional models, and innovative educational practices that strengthen student learning and institutional competitiveness. Recruit, develop, empower, and retain a high-performing faculty while
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will be based in the unique interdisciplinary and inclusive School of Engineering Mathematics and Technology. The post-holder will be expected to carry out research using scientific machine learning
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, Machine Learning, or related areas. - Knowledge of Large Language Models and Retrieval-Augmented Generation. - Experience or interest in Knowledge Graphs, Semantic Web technologies, information retrieval
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experience-dependent plasticity. Our research combines structural and functional neuroimaging, EEG/MEG, behavioural methods, computational modelling, automated neuroanatomical phenotyping, machine learning and