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expertise in EEG data acquisition and analysis, strong programming skills, and a passion for developmental neuroscience. Experience working with infants or young children is highly desirable. This will be a
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decision process for innovation, collecting neurophysiological and other relevant data, programming and analysis routines, as well as quantitatively analyzing the data collected. Candidates must hold a PhD
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The Energy Systems and Infrastructure Assessment (ESIA) division at Argonne provides the rationale for decision makers to improve energy efficiency. ESIA develops and uses analytic tools to help
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developing the technical basis for the first fusion nuclear facility and the position will involve several disciplines, with an intended focus on design, analysis, and optimization of fluid flows in tritium
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solutions to compelling problems in energy and security. We are seeking a Postdoctoral Research Associate who will support the Manufacturing Energy Efficiency Research & Analysis (MEERA) Group in
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. The Department of Mathematics and Computer Science, Hessain.AI research group “Artificial Intelligence – Deep Decision Support Systems”, led by Prof. Dr. Martin Becker, is currently accepting applications for a
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, emissions, and productivity. Decision-Support & MCDA Implement a machine-learning-driven multi-criteria decision analysis to rank and select optimal decarbonization pathways. Collaborate with industry and
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dynamic models. Model complex interactions between physical systems (infrastructure) and digital systems (software, platforms). Develop decision-support tools based on simulations for public and private
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analysis and identification of events relevant to reactor maintenance. Assemble (splicing, polishing, testing, etc.) and installing optical fiber sensors in microreactor-relevant environments. Interface with
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allow for the determination of the performance of reagents, using gas chromatography for the analysis of organic compounds, ionic chromatography, and selective electrodes for the analysis of chloride