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architectures. 4. Leadership & Dissemination Prepare high-quality manuscripts for submission to peer-reviewed high-impact journals and present findings at major optics conferences (e.g., CLEO, SPIE). Assist Dr
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technologies such as Apache Hadoop and spark, Devops/MLops. Must have a firm grasp and understanding of data structures, data modeling and software architecture using Python, R, Java and C/C#/C++, as
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | 27 days ago
architecture. You will collaborate with other researchers and interface with NETL's Research & Innovation Center (RIC) scientists. The overall objectives of this project are: 1. Investigate the feasibility
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on future U.S. energy pathways. Core Responsibilities: Lead the development, maintenance, and extension of the Temoa modeling framework, including its core architecture and documentation. Maintenance
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on future U.S. energy pathways. Core Responsibilities: Lead the development, maintenance, and extension of the Temoa modeling framework, including its core architecture and documentation. Maintenance
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, intelligent agents, decision-support systems, and related technologies Participate in prototyping, testing, refinement, and documentation of research technologies Assist with system architecture documentation
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amplifier and digitizer architectures, performing state-of-the-art front-end simulations, and producing optimized readout PCBs for testing in the 2 μm optics setup at UGent. The integrated readout system must
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to quantify the impacts of new component technologies, control algorithms and powertrain architectures with focus on advanced technologies. The candidate will assist on projects to benchmark next generation
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of catalysts, electrodes, and ionomer membranes with high time resolution, operando x-ray measurements. Develop electrode architecture and catalyst/electrode modification strategies for enhanced durability
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. Experience with time-series modeling. Experience with transformers, autoencoders, dynamical systems models, or related approaches for sequential or neural data. Interest in alternative architectures and