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Field
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system of interacting components. Traditional simulation often reaches its limits, primarily due to this complexity. We are seeking a creative thinking person who works at the intersection for AI research
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knowledge of developing AI-based information systems, such as AI-enabled engagement e.g., agentic AI and AI-enabled insight generation e.g., machine learning analytics in both individual and organizational
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Methods for Virtual Labs: Researching and constructing interactive agentic frameworks and virtual labs for expert human-in-the-loop auditing and alignment. Responsibilities: Lead research in large-scale
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Research Center for Molecular Medicine (CeMM), ÖAW | Vienna, Virginia | United States | about 2 months ago
opportunity to engage in close interactions with physicians and clinical researchers at the Medical University of Vienna and St. Anna Children’s Hospital on one of Europe’s largest medical campuses
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agents. The Postdoctoral Associate will work as part of a highly integrated research team utilizing a variety of laboratory technologies and approaches. Specialized skills in molecular/cellular biology and
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of the Earth system as a dynamic system of interacting components. Generative AI enables to identify general structures across a wide range of problems, which can be addressed to specific tasks in subsequent
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area of research and development (R&D) of next-generation Edge-AI and Embodied-AI Systems with tiny-LLMs, tiny-VLMs, tiny-VLAs; Agentic-AI systems; and Robust Generative AI targeting hallucination
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 1 month ago
. NETL principal investigators and leads serve as mentors to postdoctoral participants during the program. This interaction affords the postdoc a unique opportunity to develop critical skills needed
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applications. Communication: Strong and clear written and verbal communication skills for interacting with colleagues and stakeholders. Department Addendum This is a research position in the Department
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PostDocs on the development of cutting-edge AI-ready/agentic infrastructure for data and model discovery, model metadata extraction, and scholarly intelligence. The project will explore conceptual frameworks