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skills are particularly welcome. For information about the lab and the PI, please visit: https://www.cellbio.duke.edu/purushothama-rao-tata/ . This will be a minimum one-year appointment, contingent upon
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Learning, e.g., Human-centric Learning from Demonstrations, Shared Autonomy, etc. Robotics and automation using sustainable materials and process workflows Agentic systems for robotics and control Energy
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for the future of mobile and satellite communications. Fields of applications range from 5G/6G telecommunications to satellite-based internet connectivity. For details, you may refer to the following: https
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agents. The successful candidate will join an interdisciplinary team working to combat multi-resistant Gram-negative infections (CREs and 3GCs) through innovative chemical strategies. The postdoctoral
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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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data Design agentic frameworks using In-Context Learning and Chain-of-Thought prompting for transparent historical inference Develop Historical Hypotheses in collaboration with (other) expert humanists
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technologies, including conversational agents, large language models, and artificial intelligence more broadly. The ideal candidate would have prior experience in the design and evaluation of interactive
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should possess experience in robotics, drones, UAVs, multi-robot systems or smiliar, and practical applications of LLMs, agents, RAG, MCP, or fine-tuning. Proficiency in software development (Python, C/C
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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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, 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