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Field
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on Multi-Agent Agentic AI architectures. Develop AI models and AI-based applications, tools, and software components collaboratively. Build, maintain and operate a private 6G cloud testbed primarily based
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, Mathematics, Computer Science, or a related quantitative field Have strong modelling, computational, and code development skills Have experience with network science, multi-agent systems, statistical mechanics
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candidate for the UPC-2 research project "Multi-agent multi-objective agent-based modelling for automatic distributed optimization of cellular networks" at the Universitat Politècnica de Catalunya (UPC
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species' distributions. This project harnesses research in ecological and agent-based modelling, machine learning, and AI to increase the predictive power of models of species’ distribution shifts via “data
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evaluation of the project’s core technical components in expert-in-the-loop agentic AI for manufacturing. Develop process-centric AI methods and software tools for BPMN modelling, Petri/CPN formalisation
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, AutoGen, CrewAI, or similar. Familiarity with automation platforms such as n8n, Make.com, or Zapier. Understanding of Model Context Protocol (MCP) or agent-to-agent (A2A) architectures. Background in prompt
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ventilation and perfusion for monitoring the inflammation and pulmonary agent delivery in animal models. The other objective will be to encapsulate drug of interest into nanoplatform for improve treatment
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platforms such as Unity, Unreal, or Godot Up-to-date knowledge of recent advances in generative AI, including vision-language models (VLMs) and agent-based AI systems Ability to design and conduct experiments
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. Solid understanding of contemporary AI concepts including large language models, agentic systems, prompt engineering, orchestrations, tool-use and retrieval patterns. Extensive Experience working with one
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. You will develop a high-fidelity 3D model of submerged Lower Nubian villages and build a Retrieval-Augmented Generation (RAG) pipeline in Google AI Studio Pro to create voice-enabled AI agents grounded