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for materials synthesis planning and automated solar data degradation pathway analysis based on literature data. You will support two DOE projects at 50% each. The first project is the DOE BES Data-Driven
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Africa. UM6P has robust teaching and research programs with a base of cutting-edge research facilities and has accomplished researchers who work in partnership with research institutions and stakeholders
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of Dr. Marios Kogias as part of his ERC Starting project titled CloudNG (https://cordis.europa.eu/project/id/101220079 ). The post will be based in the Department of Computing at Imperial College London
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Job Description We are seeking a visionary researcher to lead the development of transformative global water and infrastructure datasets that underpin AI and process-based hydrologic models. You
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. Knowledge of characteristics associated with mild cognitive impairment capturable with digital interfaces. Experience with agentic large language models Experience in artificial intelligence to develop
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of computing and healthcare. Methodologies of interest include: Multi-modal learning Foundation models, including large language models Agentic AI Multi-agent AI systems Transfer learning Self-supervised
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circular Netherlands by co-creating and designing an agent-based model of the Metropolitan Region of Amsterdam (MRA). The world is facing many ecological and political challenges, many of them rooted in
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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researcher for a two-year position within the ADaM project (Autonomous workflows for Data-driven first-principles Modelling). By leveraging agentic Large Language Models (LLMs), the project will develop
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) and their relationships with neighboring tissues in pathophysiological conditions. We utilize in vivo mouse genetics, live imaging, 3D organoids, genome-wide Cas9/Crispr based functional genetic