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Field
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pipeline for predicting human pathogenicity based on bacterial genomes, something that has recently been expanded using more novel AI-techniques. There is, however, a need to further expand this to also
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and integrate emerging AI techniques (e.g., agentic workflows, LLMs) into scientific problems, ensuring methods effectively solve real domain challenges. Advanced Model Development: Design and debug
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leads the research theme “Constructing Nonverbal Communication Channels between AI–AI Agents.” Informal inquiries regarding the research topics and directions are welcome. [Work content and job
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methods (for example, learning-based, network-based, or agent-based approaches) to analyse dynamic decision behaviour, rather than focusing solely on predictive or optimisation performance prepare and
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Postdoctoral Appointee - Investigation of Electrocatalytic Interfaces with Advanced X-ray Microscopy
part of the DOE–BES initiative Integrated Scientific Agentic AI for Catalysis (ISAAC) , a multi-facility collaboration integrating experimental modalities and simulations to enable an orchestrating
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-in, and performance or creativity degradation in socio-technical decision processes design and implement quantitative methods (for example, learning-based, network-based, or agent-based approaches
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workflows, and immersive or experimental interfaces Integrate LLM-based and agentic AI systems with scientific visualization frameworks, in situ pipelines, and data analysis workflows Prototype and evaluate
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, and agent-based modeling for care delivery Health equity, patient access, and system resilience Multi-modal data integration using EHR, claims, environmental, and behavioral datasets The successful
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Materials: Please submit the required application materials to Dr. Mei-Sze Chua at mchua@stanford.edu (link sends e-mail) Does this position pay above the required minimum?: No. The expected base pay for
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to staff position within a Research Infrastructure? No Offer Description CIATec selects 1 FAPESP Postdoctoral Fellow to work on the development of predictive models and recommendation systems, based