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Field
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the disclosure of the Spectre and Meltdown attacks, Timing-Based Side Channel Attacks (TSCAs) have received significant attention. Modern System-on-Chips (SoCs), with their increasingly complex and performance
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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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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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Forecasting Agent-based Modelling and Simulation Data-driven Modelling Transportation Planning and Network Design Your profile Hold a PhD in applied mathematics or engineering Strong analytical and numerical
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the Associate Professor Zoe Falomir. Interested? Submit your application by Nov 30, 2025. Project description and working tasks This project proposes the implementation of a cognitive agent embodied in a humanoid
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, innovative research and team-based health care delivery. What we want The Postdoctoral Research Associate, under general supervision, works with a multidisciplinary team on clinical studies to develop aging in
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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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-Informed Neural Networks (PINNs) and geometric deep learning. Experience with active learning, agentic workflows, or other methods for autonomous experimentation. Familiarity with high-performance computing