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Field
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-preserving techniques, and robust data curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model experimentation and training. Science of
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curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model experimentation and training. Science of Deep Learning: Exploring mechanistic
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predictive AI systems, agentic models, and healthcare-based operational tools; (3) creating multimodal data environments and supporting infrastructure for secure real-world AI application deployment, including
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curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model experimentation and training. Science of Deep Learning: Exploring mechanistic
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sécuriser durablement. Cette thèse vise à contribuer à la modélisation et à la simulation assistées par intelligence artificielle des processus, organisations et flux de données intervenant dans les activités
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of cell factory engineering. Develop software tools that enable programmatic interaction between large language model agents and metabolic models, enabling automated simulation, interpretation, and
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. For example: Doe.John.EnvironGSM. a cover letter addressing interest and qualifications for the position a resume or curriculum vitae Copy of undergraduate and graduate transcripts (unofficial is fine
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and evaluation of language models. Research and improvement of safety, cultural and temporal aspects of LLMs and LVLMs, as well as agent-based architectures and tool usage (tool calling). Integration
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numerous fields including clinical diagnosis, cancer biomarkers detection, forensic sciences, warfare-agents detections, environmental analysis and food quality control. However, combining electrochemical
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simulations, so that they maintain their validity. The process consists in evaluating a sequence of overlapping mental simulations to construct the future course of actions that the agent will take, based