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., drag schemes, mesh resolution, feature representation); document improvements and limitations. Collaboration, mentoring, and dissemination. Collaborate with DOE E3SM, ICoM, and InteRFACE, projects as
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/ Knowledge Graph Representation / Recommender Systems Graph Theory/Network Science Python, and up-to-date machine learning libraries Excellent written and verbal communication skills Track record of publishing
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pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality
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Virginia Tech Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and
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graphs, computer vision, and the digital humanities. The goal is to develop an innovative AI architecture that is flexible and extensible enough to serve as a knowledge representation framework for
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generated via reduced representation sequencing (DArTseq) using tools such as dartR, STRUCTURE, PCA, and SplitsTree Knowledge of plant taxonomy, anatomy, and invasive plants Grant management experience
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skills: Good knowledge of ML/AI based techniques to develop fast surrogates (deep neural networks) and capability to develop own efficient model learning schemes (deep learning techniques, representation
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humanities team to engage actively in the development of the “Mapping Sonic Ecumene: A Visual Archive of Sound”. This involves mapping and archiving sonic and visual representations of songs across South India
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. Our associated mission is to create, share and use knowledge to deliver equitable and sustainable futures around the world. We pursue this mission by advancing world changing knowledge and securing
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architecture and design for complex socio-technical systems Graph theory, network science, and knowledge representation Agent-based and simulation modeling AI/ML, foundation models, causal inference, and