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that are deeply grounded in stochastic analysis and show also development of computational methods towards machine learning. The projects will focus on applications to risk-sensitive decision making and control
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Architecture: Architect, build, and evaluate multi-agent systems powered by LLMs and machine learning, incorporating Orchestrator and Memory agents, vector databases, and knowledge graphs to enable complex goal
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within the Division of Artificial Medical Intelligence of Department of Ophthalmology in the University of Colorado School of Medicine. We focus broadly on quantitative and machine learning techniques in
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artificial intelligence and machine learning. The postdoctoral fellow will contribute to the development of a comprehensive, multi-modal framework for predicting and managing cardiovascular disease by
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to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and
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Qualifications Candidate must have knowledge and strong skills in book arts and/or fine press printing, with emphasis on concept, design, and craft. Candidate must have prior letterpress, book editioning, and/or
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documenting insights that can inform Agency-wide AI governance and implementation efforts. You will apply machine learning methods and applied AI tools, including experience with large language models (LLMs
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UiO/Anders Lien 1st November 2026 Languages English English English Postdoctoral Research Fellow at the interaction between information systems and machine learning Apply for this job See
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to humans, plants, and beneficial organisms. Knowledge of and/or ability to learn UC and California Department of Pesticide Regulation laws and regulations, pesticide labels, SDS, manuals, and policies
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or human-computer interactions studies. The focus of the PhD-thesis needs to contain knowledge areas such as learning theory, cognitive theories with applications on studies of learning, design of learning