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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | 28 days 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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. This does not meet the needs of research discovery processes however, as internal researchers likely know the others in their specific discipline and what they’re working on already. Researchers
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analyzing large-scale UAV-based image datasets, including hyperspectral, multispectral, thermal, and RGB imagery. Develop field digital twins by integrating crop growth models, remote sensing data, genomic
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The University of Nevada, Reno (UNR) appreciates your interest in employment at our growing institution. We want your application process to go smoothly and quickly. Final applications must be
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, digital image correlation (DIC), and microscopic analysis. Practical proficiency in MS Office and MATLAB. At least 12 years of professional experience in a technical field focused on materials engineering
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image datasets, including hyperspectral, multispectral, thermal, and RGB imagery. Develop field digital twins by integrating crop growth models, remote sensing data, genomic information, agronomic data
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under the supervision of Professor Boutcher and the Project Manager, Dr Clare Whitehead, and in association with the Digital Humanities Support Officer, Olivia Warren. Applicants must be available
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molecules sit inside a tissue from sequencing data alone, in effect “imaging without a microscope”; encode, store, retrieve and error-correct digital information in DNA, and make molecular data operations
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Familiarity with brain imaging analysis acquisition Knowledge of multivariate statistics and/or digital signal processing Proficiency in Python. Parallel computing processing experience is highly appreciated
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R&D Projects, by the Code of Administrative Procedure (CPA), all in their current wording, and by other applicable national and community legislation. Procedure Reference: IT137-26-310 I - Legal