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Field
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Recommendation Systems Build LLM-based agent systems for personalized career recommendation that operate over long-term user memory, structured experience representations, and continual information retrieval
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Philanthropy and is fixed-term until 31 Dec 2027. A further extension to this would be based on funding availability. You will conduct hands-on empirical research in multi-agent security and agentic AI security
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optimization and LLM alignment: design preference-based training and fine-tuning methods (RLHF, PPO, DPO, reward modeling) for medical and multilingual LLMs. Agentic and tool-augmented AI systems: develop
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Center for Biologics Evaluation and Research (CBER) | Southern Md Facility, Maryland | United States | about 4 hours ago
diagnostic limitations, our laboratory integrates investigations of host–pathogen interactions with the development of next-generation sequencing (NGS)-based assays to create advanced tools for detecting
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up results clearly, and manage associated administrative duties effectively. Your expertise will include computational modelling of agent behaviour, practical development of agent models using symbolic
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tailored to radiology workflows. Developing software tools that supports reliable model comparison, ablations, and useful documentation (for human users and agentic use). Communicating results effectively
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, or trustworthy AI agentic AI, multiagent systems, sequential decision making, and LLM-based reasoning embodied or physical AI, robotics, autonomous systems, or intelligent infrastructure systems strong programming
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compositions of these materials with potential adsorption properties for simulants of toxic agents or catalytic properties of interest for degradation action, a molecular modeling approach based on density
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learning and LLM frameworks like LangChain and agent-based LLM frameworks, Retrieval Augmented Generation (RAG). Experience with fine-tuning, deploying, and evaluating Large Language Models. Experience with
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the following: digital twins, cyberphysical systems, human-centred AI causal modelling, uncertainty quantification, explainable AI, or trustworthy AI agentic AI, multiagent systems, sequential decision