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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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-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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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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the following is desired: - Agentic and sequential decision-making for autonomous experimentation, including active learning and optimal experimental design - Generative and probabilistic modeling
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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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within an avian microbiota grown in vitro. Finally, control strategies based on the use of molecules that inhibit bacterial communication will be tested in this model. The most promising approaches will
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, federated modeling frameworks, multi-agent systems, and AI pipelines for dairy farming applications. Develop, co-lead, and contribute to competitive grant proposals (federal, state, foundation, and industry
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cloud hosted AI platforms providing various emerging capabilities to all university members, such as AI chat bots, AI agents, etc. This includes configuring access policies, monitoring resources
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research domains: Cancer theranostics: integrated diagnostic and therapeutic platforms (e.g., nanoparticle-based agents, radiolabeled constructs, immunotheranostics) Translational biomedical technologies