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-based modelling, multivariate statistics). Specific Requirements Máster en Investigación Operativa, Ciencia de Datos, Ingeniería del Transporte, Matemáticas, Ingeniería Informática, Física o un campo
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: System-Level Impact Analysis of IAM using Agent-Based Models Supervisor: Prof. Dr. Regine Gerike, Chair of Mobility System Planning and co-supervised by at least one additional professor
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candidates may include: 1.Energy modelers with expertise in integrated assessment modeling, energy system modeling, or agent-based modeling, who are eager to incorporate socio-political dynamics
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Snowflake data platform. This role requires deep expertise in Snowflake's core capabilities-including data modeling, performance tuning, ELT pipelines, security controls, and orchestration-while also
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networks. Participation in national and internationally funded research projects. Contribution to advanced digital twin and agent-based simulation platforms. Opportunities for interdisciplinary collaboration
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agentic workflow (Llama, Claude, LangGraph, etc) Experience with training models on GPUs Experience working with Unix and/or Linux, including shell scripting Experience implementing NLP/AI algorithms and
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a key role in building and integrating of AI agents into gaming scenarios (e.g., gameplay, interactions, procedural content generation, dynamic narratives), and integrating a multimodal detection
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based on an orchestrator and a set of intelligent agents for information retrieval and processing; - Validation of proposed solutions through empirical studies in representative decision support and
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scholarly output. • Lead the design, architecture, and deployment of advanced AI systems, including machine learning, federated modeling frameworks, multi-agent systems, and AI pipelines for dairy farming
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. Key research directions may include: Nonlinear control for complex robotic systems Distributed optimization and coordination in multi-agent systems Game-theoretic modelling of cooperative and