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. Experience using Microsoft Visual Studio or Visual Studio Code, Python, PyTorch, TensorFlow. Two to three years of experience leading group projects and programs with current AI/ML, Data Science or Data
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applied mathematics and computer science, experimental computing systems, scalable algorithms and systems, artificial intelligence and machine learning, data management, workflow systems, analysis and
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capabilities for advanced nuclear materials systems. In addition, this work includes developing processes that connect mechanical and thermophysical testing data with the microstructures of ceramic and metallic
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computer needs for staff. Test and verify intermediate-level technology-based procedures and processes. Help plan, coordinate, manage, and maintain intermediate-sized projects under minimal direction
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, artificial intelligence and machine learning, data management, workflow systems, analysis and visualization technologies, programming systems and environments, and system science and engineering. Major Duties
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physiologists, and data scientists to tackle fundamental issues in AI/ML-based photosynthesis research and applications. The selected scientist will have access to the world’s most advanced resources in computing
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, SQL Server, SQLite). Experience with real-time databases (e.g., NI Citadel, Prometheus). Experience with data visualization (e.g., MS Power BI, Tableau, Denodo, Grafana). Experience with version control