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areas: Generative AI Agentic AI Graph Representation Learning and Modeling Foundation Models Large Language Models Multimodal Learning Forecasting Models Basic Qualifications A Ph.D. or equivalent degree
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databases and retrieval-augmented generation (RAG) and integrate agentic AI systems to meet the demands of large-scale fine-tuning and inference. The postdoc will also work on design and implement agentic-AI
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experience in animal experimentation on a mouse model, particularly anaesthesia and contrast agent injection procedures You have strong pre-clinical MRI skills and are able to use and improve the performance
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the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The agent will be
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, or decision-making in autonomous driving or robotic systems Reinforcement Learning and Agentic Control: Hands-on experience with reinforcement learning, multi-agent systems, or planning-based agents
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. You will then develop a procedure to translate these quantified relationships to a predictive agent based model for the investigation of animal movement behaviour under future climate scenarios. We also
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standards regarding use of isotopes, chemicals, infectious agents, animals, human subjects, and the like. Choose Duke. Duke Surgery is #1 in NIH Grant Funding. We are an internationally recognized leader in
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-learn); familiarity with data engineering and infrastructure (PostgreSQL and/or NoSQL, REST APIs, Docker, Git). Differentials: large language models, AI agents and/or semantic databases/graphs. Position
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synthesis of novel antibacterial agents. The successful candidate will join an interdisciplinary team working to combat multi-resistant infections through innovative chemical strategies. The postdoctoral
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About the Opportunity The successful candidate will contribute to an ambitious project developing perceptual AI agents that assist humans in daily activities through behavioral understanding and