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of electrochemistry and artificial intelligence. Ideal candidates will have experience in machine learning, large language models, AI-agent development and computational workflows, with particular interest in building
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technology development project in which UCC collaborates with two companies, Danalto and Qorvo. The UCC part of the project focuses on the development of agentic AI and digital twin concepts for Ultra-Wideband
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and Qorvo. The UCC part of the project focuses on the development of agentic AI and digital twin concepts for Ultra-Wideband (UWB) RF sensing, localisation, and vital sign recognition. The successful
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Your research is situated in the EU-funded Horizon Europe project EOSC-ARENA (AI Research Enhancement through Networked Agents), funded under the European Commission’s GenAI4EU initiative. The overall
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Center (TrAC) at Iowa State University seeks a Postdoctoral Research Associate to advance uncertainty quantification for large language models and agentic AI systems. The successful candidate will develop
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will primarily support a U.S. Department of Energy Genesis Mission project developing closed-loop and agentic AI workflows for chemical-manufacturing research. The associate will also contribute
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agents for pecan nut casebearer (Acrobasis nuxvorella), a major pest of pecan in Texas. The associate will also develop rearing protocols for mass production of potential biological control agents
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deploying an AI project. This includes initial problem specification, data gathering and analysis, model creation, and implementation. Applicants should be willing to learn and use agentic AI to build and
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of agentic AI systems for accelerating computational catalysis and experimental design. The successful candidate will contribute to building AI-native frameworks that combine physics-based modeling, machine
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and working with agentic AI (e.g. Claude Code, Codex) Excellent communication skills in English Strong academic track-record and publication history The ability to collaborate in a multidisciplinary