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to accelerate solving AC power flow (AC-PF) computations, potentially facilitating real‑time contingency analysis, rapid design‑space exploration, and on‑line operational optimization of power systems
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prediction Integration of domain decomposition methods into the learning framework to enable efficient model parallel training Implementation and optimization of GPU-accelerated training pipelines Validation
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. Providing guidance on the design of experiments and studies related to the use of LLMs; Providing detailed instructions on customizing LLMs (training, fine-tuning, RAG, ...) and engages in optimizing existing
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and biomolecule release. We are seeking motivated, creative individuals who are interested in conducting hands-on experiments to evaluate and optimize the performance of this technology, including
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position supports the technical maintenance, operation, and instrumentation support of automated platforms at Dr. Jason Hein’s research laboratory. The Hein Lab builds automated, “self-driving” systems using
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The Heinz College of Information Systems and Public Policy is an academic institution unlike any other. Our faculty, graduate students, and researchers operate at the groundbreaking of social and
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experiments, behavioral research, econometric and causal inference approaches, optimization and analytical modeling, and data-driven techniques such as machine learning and large language models. Our work is
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No. 1 scholarship grant for scientific training at INFN Structure of Roma for the following research topic: “Optimization of energy reconstruction in ECAL and its application into Higgs Boson measurements
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Organization U.S. Department of Energy (DOE) Reference Code DOE-CMEI-RPP-2025-Fall-MEF-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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other researchers. Work Performed Project planning (e.g., co-developing interview guides, recruitment materials, with the Research Coordinator) Rapid evidence review (e.g., searching for articles