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Field
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The Computer Vision Group is looking for an aspiring PhD to investigate multi-agentic AI, LLMs, and VLMs applied to agricultural sciences. Currently, established AI models often fail to generalize
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, study, design, development and validation of advanced artificial intelligence solutions for the implementation of agentic systems based on LLMs, with particular reference to orchestration techniques and
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the field. Perform quantitative analysis and agent-based modeling of behavior. Report, discuss, and present data to the team. The position is for 36 months. Laboratory work using virtual reality (VR
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identification of optimization levers while ensuring compliance with safety requirements. The work will be based on process and decision modeling standards (notably BPMN and DMN), enhanced by agent-based AI
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synthesizing findings with prior knowledge from the scientific literature, a process that today depends heavily on manual expert interpretation. Recent advances in large language models, agentic systems, and
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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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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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website for more information: https://d3.harvard.edu/ . Job Description We are seeking an experienced Agentic AI Product Manager to lead the development, oversight, and optimization of agentic AI
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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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. 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