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Opportunity Building User-Centered AI Agents in Consumer Settings We are seeking a Postdoctoral Research Fellow to join our project on developing user-centered AI agents in consumer settings. As AI agents
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fields and an interest in learning more about physical cosmology are also strongly encouraged to apply. Our group is working on a diverse set of problems across both theory, simulations, and observation
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communicate by flexibly reasoning about what other agents know and want. Recently, we have been exploring how this framework of inferential social learning can be applied to develop socially intelligent
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variety of simulation and optimization techniques. Key areas of interest may include control theory, robust optimization, or distributed optimization. 2. The second candidate will focus on applied research
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for liver cancer patients. Aligned with this goal, this position offers exciting opportunities to work with external collaborators to evaluate promising diagnostic probes and therapeutic agents, using cell
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to support affordable, decarbonized, and resilient water supply. The candidate should have strong experience simulating water treatment unit processes (e.g., activated sludge, denitrification, anaerobic
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. Develop and apply ab initio computations, molecular dynamics simulations, and machine learning models. Collaborate with other researchers within the group and external partners. Present research findings
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, mechanical engineering, or related field. Research experience in robot manipulation, robot learning (imitation, reinforcement learning and /or foundation models) and/or robot perception (vision, depth, touch
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)parameter optimization through cross-validation. Observational research methods including interpreting multivariate regression, missing data imputation, propensity score matching, and bootstrap simulations