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and adapt assimilation schemes based on generative deep learning methods (such as flow matching and diffusion models). The candidate should have previous experience in data assimilation and/or deep
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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days 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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machine learning, or deep learning, along with strong programming skills. Selection will also consider the ability to produce publishable research, communicate proposals and findings effectively, and
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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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, nursing directions, scheduling templates, protocols, and staffing models. Skills / Knowledge / Abilities Basic computer knowledge, MS Windows, Word, Outlook, clinical applications. Supervisory experience
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of generative AI tools, use of large language models, machine learning, and ethical frameworks for AI implementation. Ability to apply AI to interdisciplinary research or developing AI models
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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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expertise (within the fields of marketing, innovation, or design). The appointment is slated to begin in August 2027. We seek a teacher-scholar to develop and teach courses that focus on digital technologies
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activity using fully compressible MHD in global and local frameworks, integrated with physics‑informed machine learning and coronal/wind modelling. Key tasks and responsibilities: Develop and implement data