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present data (e.g. spreadsheets, charts, graphs). Demonstrated ability to analyze data and develop appropriate reports and other presentations. Some supervisory experience. Demonstrated ability
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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Postdoctoral scholars/fellows on the status of research. Collect and log laboratory results and/or survey data. Evaluate and perform data analysis using graphs, charts, or tables to highlight the key points
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the safe deployment of AI systems in real-world environments. Current research activities focus on topics such as: Constrained Generative models for graph and tabular data. Security, robustness, and
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develop knowledge-grounded reasoning methods that connect salient nucleotides, motifs, genes and regulatory elements to biological annotations, ontologies, knowledge graphs and literature-derived evidence
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en entornos impulsados por IA. -- Contributing to the design and development of semantic interoperability frameworks based on ontologies and knowledge graphs for heterogeneous data ecosystems
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research activities focus on topics such as: Constrained Generative models for graph and tabular data. Security, robustness, and trustworthiness of AI systems Evaluation, benchmarking, and testing of AI
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other materials during lectures and small group sessions. · Collating, transcribing, and graphing course evaluation info. · Assisting with exam invigilation. · Entering data such as schedules and other
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
of microscopy, multiplexed immunofluorescence, spatial/protein imaging, or image-derived single-cell phenotypes. Machine learning, latent variable modeling, variational autoencoders, optimal transport, graph
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interpersonal skills are key. · Familiarity with generating power point slides, data analysis techniques, graphing methods, and interpretation of laboratory and clinical data. · Proficiency in use