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Field
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Perturb-seq, with our integrative analyses often employing computational approaches such as agent-based modeling to deconstruct gene-regulatory networks and predict system behaviors. As a postdoctoral
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The Los Angeles Cancer Surveillance Program (LACSP), the State-designated agent to collect population-based cancer incidence data in Los Angeles County, in the department of Population and Public
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: Title of Post: Post Doctoral Researcher (Level 1) AI-Minds Project: Trustworthy AI Large Language Educational Models JOB SYNOPSIS Post Doctoral Researcher to develop agentic LLMs tailored to immersive
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. However, there are many knowledge gaps in relation to the use of microbial biocontrol agents (BCAs) for the control of plant diseases. We are interested in whether plant pathogens can evolve resistance
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data Familiarity with agentic LLM-based approaches and related technologies (e.g., RAG, MCP, A2A) Interest in interfacial phenomena and defect dynamics in materials across scales Job Family Postdoctoral
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agents, which are effective but pose significant environmental concerns due to their high global warming potential and their classification as PFAS, now subject to strict regulations. In this context
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of computing and healthcare. Methodologies of interest include: Multi-modal learning Foundation models, including large language models Agentic AI Multi-agent AI systems Transfer learning Self-supervised
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polymer chemistry. Experience with drug delivery, nanoformulation, cell-based assays is strongly desired but not required. The successful candidate will be responsible for developing novel degradable
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heterogeneity at the molecular level, primary cells and tissues obtained from osteoarthritic patients will be endotyped using advanced mass spectrometry-based proteomics. Endotype specific primary cell cultures
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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