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challenges facing the nation. We invite applications for a Principal Engineer for Geospatial Computing Infrastructure. This dynamic and visionary leader will launch and build a next-generation Geospatial Data
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array of capabilities in nuclear nonproliferation, data analytics, cybersecurity, cyber-physical resiliency, geospatial science, and high-performance computing, our organization seeks to produce world
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. Basic Qualifications: PhD in electrical/computer engineering, computer science, or a related discipline A minimum of 8 years of relevant experience in image/signal processing and machine learning
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materials. In this role, you will develop and apply methods that integrate physics‑guided image correction with intelligent (AI/ML‑enabled) data‑acquisition strategies. Key objectives include (1) implementing
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laser deposition, characterization, analyzing data, and writing papers. Major Duties/Responsibilities: Conduct epitaxial synthesis of complex-oxide thin films and heterostructures by pulsed laser
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-of-the-art computational and data science infrastructure coupled with dedicated technical and scientific professionals tackling large-scale S&T challenges across a broad range of scientific domains
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, and adapt to ever changing needs Preferred Qualifications: Familiarity with containerization technologies and microservices Familiarity with basic machine learning and data analysis pipelines (ingestion
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, instrumentation, and collecting and analyzing the data. This position resides in the Building Envelope Materials Research (BEMR) group in the Building Materials, Systems, and Integration S, Building section and
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continuity. Analyze samples and run data to verify proper results and provide technical support for equipment cleanup and waste disposal activities. Operations may involve intervals of high operational demand
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and image data processing. Specific knowledge related to neural network design, training, and optimization is required. You will be joining a group with core expertise in sensor data analytics from