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Field
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distributed energy resources (DERs). Design & develop optimization algorithms/tools to plan the deployment of DERs such as energy storage systems (ESS), photovoltaic generations (PV), electric vehicle charging
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Supporting Actions: Clean, organize, and link large administrative datasets (e.g., Medicare claims, prescribing data, and corporate ownership data) from multiple sources. Develop and maintain reproducible data
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optimizing algorithms, supporting HPC- and data-intensive workflows, and contributing to the development and evaluation of emerging technologies in high-performance computing, data analytics, and
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safety-critical tasks, such as healthcare or automated vehicles, where trustworthy models are required. The existing literature for the OoD detection problem focuses on the development of confidence scores
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of information in their daily lives - from local news to institutional messaging and algorithmically curated feeds. We are investigating how trust forms, erodes, and gets repaired, and how technologies
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to test and evaluate SONAR signal processing and automation algorithms developed both internally and externally (may include travel to test sites for specific test events). Implement research grade
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 4 hours ago
supporting multiple probes simultaneously. Swarms also provide the usual benefits of multi-element array reception, namely robustness to single point failures and transmit/receive diversity. The downside
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is involved in the DUNE project with a broad range of responsibilities in detector construction, modelling and software development. This PhD project will focus on the development of a methodology for
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also be involved in improving object reconstruction, such as developing advanced algorithms for tau lepton identification or jet substructure / particle-flow techniques to identify Higgs bosons decaying
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to develop, evaluate, and/or apply algorithms and software for data analysis. Responsibilities include querying databases, data processing, supervised and unsupervised machine learning, deploying production