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Field
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decarbonization for a sustainable energy transition. CUPR has multiple ongoing projects funded by the New Jersey Board of Public Utilities, the US Department of Energy, the US Environmental Protection Agency
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census at multiple locations, cataloguing known natural or man-made aerial objects. We will generate testable, data-driven hypotheses to characterize any novel class discovered during this census, or else
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publications), and or other textual data Knowledge of, or strong interest in AI, digital technologies, and their applications Proficiency in programming languages (e.g., Python, R) and data analysis Ability
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other characterization methods, as well as across multiple CNMS groups and divisions at ORNL. Major Duties/Responsibilities: Conduct materials research using combined photonics/scanning probe microscopy
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and administrative activities, coordinating multiple aspects of work to meet deadlines. 2) Undertake comprehensive and systematic literature reviews to develop projects. 3) Adapt existing and develop
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. Experience with programming languages such as Python, R, or MATLAB and experience with relevant tools and frameworks for data analysis and machine learning. Experience with database technologies, particularly
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for Artificial Intelligence. Strong demonstrated programming skills including Python or other similar languages. Ability to work independently, prioritize tasks, and deliver results in a timely manner. Assess and
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occurring at multiple scales in subsurface energy storage and recovery systems. An interdisciplinary team, including experts from UTEP, Florida State University, the University of Utah, Sandia National Lab
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for the eastern US. Multiple peer-reviewed publications are expected to result from this work, to be developed in tandem with key project personnel and collaborators. Travel funding is available to present research
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Number: JR89398 Position Summary The Cruchaga lab at WashU Medicine is recruiting multiple Postdoctoral Research Associates. The Cruchaga lab generates and analyzes high-throughput multi-omic data to study