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Field
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Language Model (LLM) Strong biostatistics knowledge including survival analysis and causal inference Experience with reinforcement learning, agentic AI systems and autonomous decision-making frameworks Data
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. Desirable criteria Track record of interdisciplinary collaboration. Familiarity with cognitive architectures or agent-based modelling frameworks. Ability or potential to contribute to the development
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in AI: Generative Diffusion & 3D/4D Scene Synthesis: Re-design diffusion and NeRF-style models so multiple agents jointly reconstruct a scene. Semantic-Aware Compression & Network Information Theory
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are the following: Design and synthesize small molecule anti-infective agents. Assists in packing, unpacking, storage and maintenance of lab supplies and materials. Ensures that glassware and equipment are kept clean
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Pinheiro-Chagas, invites applications for a research data analyst position focused on AI Voice Agents AI for Neurology Healthcare. The successful candidate will join a multidisciplinary team at the
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development of generative AI agents for VR-based social simulations Support the implementation and tuning of NLP models for personality-tailored interactions Contribute to the integration of AI agents with
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expertise in Large Language Models (LLMs), Agentic Systems, as well as strong interdisciplinary teamwork skills and communication skills. About the Stanford NLP Group: Stanford NLP Group focuses on basic
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the MATSim agent-based transport simulation framework. The main task is to enable simulated agents to choose transportation modes, such as car, bus, bike, or walking, based on real-time feedback from
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. Conduct laboratory-based research involving sample collection development of high-throughput assays and virological experiments both in vitro and in vivo. Coordinate and maintain administrative paperwork
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intentional environment, someone goes beyond managing schedules and tracking projects, and wants to be a part of team that supports students as they grow into change agents for a better world. Core