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, PyTorch, JAX etc. Experience with modern AI concepts such as large language models (LLMs), vision-language models (VLMs), model context protocol (MCPs), and the development of agentic AI tools. Skill in
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initiatives, committees and task forces, based on expertise or experience, as assigned. Develops and maintains subject matter expertise in one or more substantive areas of law that routinely or materially
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cues play a role analogous to conditioned stimuli: they are signals that, once learned, allow the agent to anticipate the consequences of its actions. Scientific Motivation: Learning-based navigation
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multiple AI fields, including machine learning (including deep learning, foundation models or agentic AI), human-centered AI (including social computing, multi-modal processing or robotics), digital security
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., 2022. Calibrated Photoacoustic Spectrometer Based on a Conventional Imaging System for In Vitro Characterization of Contrast Agents. Sensors 22, 6543. https://doi.org/10.3390/s22176543 Nicolas-Boluda, A
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’ projects as well as how each applies within the larger context of defining novel therapeutic agents in Hematological Research and broadening our understanding of mechanisms underpinning pediatric marrow
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the accounting processes. Design, develop, and implement Explainable AI (XAI) systems, fuzzy logic models, and consensus‑based decision frameworks capable of processing large‑scale, heterogeneous financial data
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
the credible use of artificial intelligence, especially generative AI and large language models (LLMs), to accelerate climate mitigation while safeguarding integrity in climate commitments. This Research
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, and agent-based modeling for care delivery Health equity, patient access, and system resilience Multi-modal data integration using EHR, claims, environmental, and behavioral datasets The successful
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facilitation, discussions, and UNIV class instruction. Career Readiness Competencies: Seek feedback from supervisors and apply it to improve performance. Adjust tone and approach based on audience (e.g., peers