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to develop foundation models that can learn from heterogeneous tabular data across buildings and district-scale energy systems and transfer across systems, operating conditions, and downstream tasks
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researcher. The project aims to develop foundation models that can learn from heterogeneous tabular data across buildings and district-scale energy systems and transfer across systems, operating conditions
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 10 hours ago
policy, and energy jobs. It provides expertise in workforce development, electricity systems, permitting, buildings and industry, mobility and fuels, energy security, supply chains, and the energy system
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activities related to energy programs. SCEP empowers states, local governments, Tribal Nations, nonprofit organizations, public schools, community partners and more to build local capacity to deliver
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the last 5 years. Preferred Qualifications: Proven RDD&D experience in urban-scale building energy modeling. Experience planning and designing solutions for a variety of community projects, including
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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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Role: Research Assistant/Postdoctoral Research Associate in Energy Transition and Finance Grade and Salary: Grade 6 - £31,236 - £36,636 / Grade 7, £37,694 - £43,482 per annum FTE and working pattern
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jobs. It provides expertise in workforce development, electricity systems, permitting, buildings and industry, mobility and fuels, energy security, supply chains, and the energy system. Working in
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Classification Title: Postdoctoral Research Associate Classification Minimum Requirements: Ph.D. in Neurobiology, Stem Cell Biology, Biomedical Engineering, Cell Biology, Molecular Biology, or a
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
. The postdoctoral researcher will help build computational frameworks that connect sequencing-based measurements with imaging-derived single-cell features, including multiplexed protein imaging and AI-assisted