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, multimodal sensing, LiDAR processing, or infrastructure monitoring is required. Familiarity with machine learning, large language models, agentic AI, AI-based perception, and data integration is important
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domains range from agentic software engineering to industrial control systems. Specifically, it addresses the issue of using general vs. specialized models (e.g. per task, company, country or domain). From
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engineering Background in deep learning, computer vision, LLMs, visual language models, agentic AI, AI system design. Equipment Utilized Physical Demands and Work Environment Special Conditions Posting Details
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the Romanian labor market using data available on online recruiting platforms deploying state-of-art approaches in Natural Language Processing, SemanticWeb and Agent-based Modeling. For this purpose
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market using data available on online recruiting platforms deploying state-of-art approaches in Natural Language Processing, SemanticWeb and Agent-based Modeling. For this purpose, an extensive
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the emerging multi-agent world, model interpretability, governance of AI, and AI’s impact on human experience, including youth safety and wellbeing. Because this work draws on many fields, the Director
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technologies, and cloud platforms. Support researchers’ use of AI and machine learning tools, including AI coding assistants and agents (e.g., Claude Code), model APIs (e.g., Anthropic, OpenAI), and open-weight
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to innovate in education models, and is now transitioning from a collection of distinct approaches toward a unified, integrated Academy model – a syntegrative ecosystem designed to break down silos, enhance
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formats. • Academic, teaching, research, and/or industry experience in Artificial Intelligence applications for business, including emerging areas such as generative AI, large language models, agentic AI
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under the guidance of the principal investigator. Projects will involve work with animal model and human patient sample experiments to investigate immune function in cell therapy and hematopoietic stem