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topics, and developing optimization models and/or data-driven controls that are related to at least one of the following topics: Developing energy management strategies related to ADMS, DERMS, microgrid
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for more information. Notice of Non-Discrimination and Equal Opportunity The University of Delaware does not discriminate against any person on the basis of race, color, national origin, sex, gender identity
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. Instrumentation and techniques that may be utilized within the fellowship for data collection and analysis including UV-visible spectrometers, fluorescence, Raman spectroscopy, SEMs, microscopes, lasers, and other
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Sciences Culture Charter for additional information about the College of Sciences. Top candidates will be asked to complete an application profile at jobs.ncsu.edu. Evaluation of applications will begin in
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 20 hours ago
powering AI data centers and new manufacturing. Critical Minerals: Support implementation activities related to President Trump’s Executive Orders and Presidential Memorandums for critical minerals. Conduct
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literature reviews; assisting with the collection, management, and analysis of qualitative and quantitative data; contributing to scholarly publications, policy briefs, and practitioner‑focused resources; and
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Posting Details Position Information Posting Number PG191562PD Position Number 00111647 Position Type Post Doc FLSA Departmental Information Department ID 196001 - Department of Population Health
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Posting Details Position Information Posting Number PG191382PD Position Number 00108713 Position Type Post Doc FLSA Exempt Departmental Information Department ID 141901 - Computer Science
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will receive full consideration. Key Responsibilities AI-ready data and analysis for the ePIC Barrel Imaging Calorimeter and our Jefferson Lab program Support for the PRad-II and X17 experiments
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Application-driven Composable Distributed Storage. The candidate will be able to make research contributions in understanding and efficient use of distributed data storage and I/O subsystems for High