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Job Posting Title: Post Doctoral Scholar The Opportunity Lead and contribute research on multimodal data integration, ontology and knowledge graph building for energy domain. Supervise graduate and
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Biology: Development of deep learning, graph neural network, generative AI, and RNA foundation models to analyze large-scale omics, spatial transcriptomics, ribonomics, and imaging datasets. Application
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, Create insightful graphs and other graphical tools to present outcomes back to farmers, Develop reporting for specific groups of farmers that are for instance in a specific supply chain or a learning
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graphs on research data Assist with site inspections and field oversight Have little or no supervisory responsibilities Other duties as assigned Create a Job Match for Similar Jobs About University of
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Posting Summary Logo Posting Number RTF00197PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post Doctoral
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PowerShell (V3) and Microsoft Graph API for user lifecycle management, reporting, and bulk administrative tasks. Integrate identity workflows with Microsoft Entra ID (formerly Azure AD), Entra Connect/Cloud
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refinement (e.g., correcting mislabelled records), construction and use of knowledge graphs, and transforming data between different representations. In addition, you will contribute to enriching (meta)data
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individuals with expertise in one or more of the following areas: Generative AI Agentic AI Graph Representation Learning and Modeling Foundation Models Large Language Models Multimodal Learning Forecasting
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biology tasks Integrate learned policies with domain tools (RDKit, molecular graph ML, ELN/LIMS APIs, instrument drivers) so trained models execute real DMTA tasks Build the eval infrastructure: task suites
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spreadsheets, graphs, and reports for the Department Chair. Drafts documents for the Chair's consideration. Researches, compiles and summarizes. Coordinates projects efficiently and effectively. Manages special