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about your application at various points throughout the selection process, via automated emails from our e-recruitment system. Please check your spam/junk folder periodically to make sure you have not
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standards for research and evidence synthesis; Developing living evidence syntheses and workflows for keeping research knowledge current using open bibliographic data and automated methods. Carnegie Mellon
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co-author. This will involve, but is not limited to, constructing original databases (including the use of automated tools, e.g. webscrapping or data-mining techniques), collecting data through surveys
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analysis, modeling, or automation using tools such as Python, MATLAB, C#, C++, or similar engineering software environments. Experience with CAD/CAM/CAE tools such as Siemens NX, SolidWorks, Mastercam
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data integration, or scientific workflow automation. Other Information: Initial 2-year term appointment subject to renewal contingent on performance and funding. Candidates must have received a Ph.D. by
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | 28 days ago
on the Applied Federated Energy Research Accelerator (AFERA), a novel framework for end-to-end applied energy research integrating Agentic AI, Applied Energy Solvers, Digital Twins, and Control & Automation
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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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. Submitting your application We prefer to receive applications online. We will update you about your application at various points throughout the selection process, via automated emails from our e-recruitment
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, environmental, mining, chemical, mechanical, electrical and electronic, and automation and robotics. The School has a dedicated team of teaching and research academics who contribute to both undergraduate and
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preparation of samples for projects involving process optimization, automation, and data-driven materials discovery. This position is primarily intended for a researcher with strong hands-on expertise in