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-scale, heterogeneous datasets to develop and deploy AI-driven methods for: Real-time quality monitoring and control of manufacturing processes Understanding relationships between manufacturing intent
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modeling, including numerical analysis, finite element methods, and software engineering Experience in software development in the C++ and Python languages The ability to work flexible hours and travel
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science, decision science, discrete algorithms, multiscale methods, experimental computing systems, scalable algorithms and systems, artificial intelligence and machine learning, data management, workflow systems
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their applications. International trade outreach and material security. High-performance computing (HPC) methods for nuclear applications. Standard design software (e.g., SCALE, VERA, MCNP, Serpent
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in urban-scale building energy modeling, software development (esp. Python), or Artificial Intelligence/Machine Learning (AI/ML) Strong ideation, writing, and communication skills for establishing
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Requisition Id 16263 Overview: We are seeking a group leader who will focus on AI/ML methods/application, image/signal processing, and sensor systems. This position resides in the Multimodal Sensor
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, the Biodiversity and Ecosystem Health Group actively develops scientifically robust technologies designed to mitigate ecological impacts. These innovations are created through rigorous scientific methods
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committees. Distinguished record of achievement and recognition. Preferred Qualifications: Advanced technical degree (MS or PhD) in a science or engineering field with at least 8 years of experience managing
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Informatics portfolio. You will be expected to work with a team as well as independently research and develop AI-driven methods to enhance discovery and usability of Atmospheric Radiation Measurement (ARM) data
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Engineer to support research and development (R&D) activities that advance isotope enrichment technologies and stable isotope production. EICE focuses on the application of hardware and software solutions