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top-tier venues and will have dedicated time for advancing their own research. The project is in collaboration with CCL (The Center for Connected Learning and Computer-based Modeling, PI Uri Wilensky
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to science, engineering and society. You will focus on optimization-based, data-driven and partially model-based control methods. You will have access to a strong research network and a broad range of
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for individuals, organizations or society. You will be part of the SAIL research group, whose research activities focus on AI-based modeling of complex systems, uncertainty management in deep learning, visual
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optimization and meta-heuristics; economic paradigms (game theory, mechanism design, electronic markets); agent modeling and simulation; agent planning, scheduling and decision support; agent learning and
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optimization and meta-heuristics; economic paradigms (game theory, mechanism design, electronic markets); agent modeling and simulation; agent planning, scheduling and decision support; agent learning and
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prompt design as a controlled manipulation, generative voice agent pipelines, conversation logging and transcription Extending and validating existing LLM based coding pipelines for transcript derived
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, federal, state, and local regulations, and institutional guidelines. Will perform research with BSL2/BSL3 bacteria and viruses and Select Agents in in-vitro and in- vivo models. Will also assist the BSL3
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intelligence to dramatically increase the scale and precision of global experimental trials. The Project Engineer position is based at Nuffield College, working closely with the team of scholars in Oxford
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: Advancing machine unlearning, privacy-preserving techniques, and robust data curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model
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exemplary colleagues, trusted partners, valued advisors, and agents of positive change. More about FAD: Within and across the University, we aim to be exemplary colleagues, trusted partners, valued advisors