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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 1 month ago
novel paradigm integrating Agentic AI, applied energy solvers, digital twins, and control automation to redefine scientific discovery and address key capability gaps at NETL. As a faculty research
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division "Catalytic Interfaces for Chemical Hydrogen Storage" (IHE-1), led by Prof. Dr. Hans-Georg Steinrück, we investigate mechanisms and processes in (electro)chemical energy storage systems
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this position, we seek to strengthen the platform by embedding/developing additional tools for data processing and analysis. The starting point for the developments will be our EasyNMR platform (see
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, brain organoids, genome editing, high-resolution imaging, single-cell sequencing, spatial transcriptomics, epigenomics, and proteomics, as well as a unique mouse model in which neural progenitors acquire
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processes and best laboratory practices. Administrative and Operational Contributions Contribute to the effective operation of the research laboratory, including laboratory organisation, equipment maintenance
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(NIH U01): A multi-site implementation science study evaluating precision imaging tools for Kaposi sarcoma in East Africa. The fellow will contribute to data analysis, manuscript development, and study
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studies, develop prototype tools and other devices, as well as provide research and technological services. The recipients of our solutions are, among others, representatives of the foundry, tooling
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characterization of germanium detectors, develop advanced Monte Carlo models and AI-driven analysis tools to optimize detector response, and to promote precision medical imaging and low energy dark matter searches
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of specialist laboratory equipment, including advanced fluorescence microscopy and spectroscopy platforms such as the PicoQuant Luminosa, to generate, analyse and interpret imaging, fluorescence lifetime, single
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after the first year, with a flexible start date as early as October 2026. Research in The Aguillon Lab focuses on understanding the speciation process through the use of genomic datasets collected from