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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
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: the candidate is expected to contribute to and build upon modern Python-based statistical modeling tools such as pyhf, supporting likelihood publication, large-scale analysis combinations, and result
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selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, training and internal pay
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interactions can be generated based on emerging and pre-defined protocols for interaction between agents, between agents and their environment and between agents and humans. By an interaction protocol, we mean a
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Bold. Daily, you will perform general husbandry duties involving the handling of conventional and genetically engineered animal models with varying health statuses, in compliance with DLAR and Duke
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, Salesforce, ServiceNow, Snowflake, and Azure-and designs future-state structures that support data products, analytics, automation, and AI/ML enablement. Establishes enterprise data standards, models
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LLM-agent-driven tools that reconstruct network topology, services, and administrator intent from partial information during crises, enabling rapid situational awareness across diverse, multi-vendor
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for cooperative autonomous driving; Design large vision-language models for autonomous driving; Design generative diffusion & 3D/4D scene synthesis models to enable multiple agents to jointly reconstruct a scene
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of IT contract structures, licensing models (perpetual, subscription, consumption-based), and emerging technology procurement trends. Understanding of data privacy, cybersecurity, and regulatory
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discovery methods to enable a search for explanatory multi-level agent-based models that can be calibrated to - and validated against - such empirical phenomena. Funding Notes This is a self-funded research