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Analysis Department and will develop AI-driven autonomous systems for next-generation transportation and grid applications. The role focuses on advanced control, LLM-based agentic frameworks, and robust
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interdisciplinary pipelines to identify effective RNA drugs against human diseases: AI-driven RNA discovery – using AI agents to prioritize the therapeutic potential of human lncRNAs (supported by the NHLBI
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Opportunity You will play a key role in advancing agent-based travel demand modelling to help shape healthier, safer and more active cities. You will help build innovative modelling frameworks, analyse real
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of multi-agent systems Control and containment: Developing steering techniques and safety measures to guide model behavior, including red-teaming and methods for intervention, guardrails, and safety
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recently developed mathematical theory, linking stochastic, network, and agent-based modelling, describing how this emergent behaviour supports essential maintenance and sharing of contents through
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stochastic, network, and agent-based modelling, describing how this emergent behaviour supports essential maintenance and sharing of contents through the mitochondrial population (PMID 38043948). Already
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of an agent-based model for Brazil The post-holder must have a postgraduate degree, ideally a doctoral degree, in a relevant topic and will have expertise in analysing large quantitative datasets and in
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intelligence that coordinates the entire experimental ecosystem. The Postdoctoral Fellow will develop agentic AI models and frameworks for intelligent experimental workflows, which couple machine learning, real
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based chatbot to instill lifestyle changes including making meal recommendations with appropriate guardrails in place. Key Responsibilities: Developing LLM agentic framework for detection of food, making
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of multi-agent systems Control and containment: Developing steering techniques and safety measures to guide model behavior, including red-teaming and methods for intervention, guardrails, and safety