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systems, from sustainable energy grids to autonomous mobility. In this ERC-funded PhD project, you develop cutting-edge game-theoretic control and optimization methods. Job description Modern society
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engineers/managers/coordinators throughout campus to optimize conservation practices by building occupants. Budget/Financial 25% Responsible and accountable for the annual operations budget and Energy
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researcher to work on systems theory for energy-based learning. What are you going to do? As a postdoctoral researcher, you will develop and analyse new algorithms for energy-based learning of complex systems
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Requisition Id 17152 Overview: Oak Ridge National Laboratory (ORNL) is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver
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Requisition Id 17153 Overview: Oak Ridge National Laboratory (ORNL) is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver
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Organization U.S. Department of Energy (DOE) Reference Code DOE-CMEI-MEF-2027-Summer-Grad How to Apply To apply, click Apply at the bottom of this page. Connect with ORISE on the GO! Download the
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Organization U.S. Department of Energy (DOE) Reference Code DOE-CMEI-MEF-2027-Summer-Postgrad How to Apply To apply, click Apply at the bottom of this page. Connect with ORISE on the GO! Download
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renewable energy use, energy security, and the reliable operation of hydro-dominated power systems. The project will focus on how AI can support advanced optimization models for hydropower and energy-system
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-economic analysis, life-cycle assessment, mathematical optimization, process-oriented modeling of industrial energy systems, and the analysis of regulatory frameworks. In particular, we focus on chemical
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 22 hours ago
of microscopy, multiplexed immunofluorescence, spatial/protein imaging, or image-derived single-cell phenotypes. Machine learning, latent variable modeling, variational autoencoders, optimal transport, graph