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collaborative, dynamic, and deeply engaged intellectual community to support research, teaching, and learning. As part of the larger George Washington University, we are a nexus where exciting things happen
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intelligence and machine learning to support systems engineers in their work. · Techniques and metrics for designing and evaluating explainable, interpretable, and trustworthy AI-enabled systems · Management
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. Proven ability to influence progress toward action through strong working relationships and collaboration. Experience working independently, learning quickly, and being self-motivated while contributing
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. Pan) in analyzing clinical trial and observational data. Fitting machine learning models on large-scale heterogeneous data sources. Attending weekly group meetings. Discussing issues in the pipeline
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. In addition, we are interested in candidates who are using AI and machine learning in their research or may be able to integrate these themes in their upper division course. Office and dry laboratory
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, Kronos, Banner, Passage Point (VMS), LibCal, Google Docs, Word and Excel. Monitors the condition of computer equipment and adequacy of software systems. Proactively reports problems with technology, and
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, Kronos, Banner, Passage Point (VMS), LibCal, Google Docs, Word and Excel. Monitors the condition of computer equipment and adequacy of software systems. Proactively reports problems with technology, and
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Trustworthy AI Systems NSF Research Traineeship , the Digital Trade and Data Governance Hub , the Center for Machine Learning, and the Human-Computer Interaction Lab at UMD, and the Center for Equitable AI and
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Trustworthy AI Systems NSF Research Traineeship , the Digital Trade and Data Governance Hub , the Center for Machine Learning, and the Human-Computer Interaction Lab at UMD, and the Center for Equitable AI and