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Field
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learning Foundation models, including large language models Agentic AI Multi-agent AI systems Transfer learning Self-supervised learning Federated learning The Postdoctoral Researcher will be primarily based
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Framework (RDF). enables advanced data mining queries using the SPARQL query language. provides a natural language-based interface to perform these queries on the knowledge graph using a large language model
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social media analysis, smartphone-based sensing, and agent-based modeling. Combining macro-level patterns with micro-level behavioral data, it will examine how polarized content influences stress, anxiety
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stress contagion and collective motion, as well as survey data of emotional states and personality metrics. Modeling efforts will focus on agent-based approaches, which may include both simulation studies
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on three continents. This research contributes to scholarship on how global governance is dealing with the crisis of multilateralism and debates on organisational culture, principal-agent relationships, and
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that integrate state-of-the-art Large Language Models (LLMs) with novel logic-based multi-robot planning algorithms. This work will be evaluated through simulations and with physical drones in mock search-and
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mental health and computational social science, using large-scale social media analysis, smartphone-based sensing, and agent-based modeling. Combining macro-level patterns with micro-level behavioral data
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-for-purpose modeling efforts. MINIMUM QUALIFICATIONS: PharmD or PhD in pharmacology, statistics, engineering, or related field; specific training, experiences, and a demonstrated track record in applying PK/PD
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design, and agent-based modeling to address problems in psychological domains, with a particular focus on applications in anxiety disorders and meta-scientific/methodological questions in psychological
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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