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development by providing security requirements and the estimation of security support for proposals. Participate as an active member of special security working groups in the SAP and/or SCI community and
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physics-informed and physics-ML hybrid approaches that integrate domain knowledge with data-driven methods to advance hydrological process understanding and prediction. Conduct multimodal, multiscale data
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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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method. The ORNL Spallation Neutron Source (SNS) is a major DOE accelerator-based neutron source facility that provides the most intense pulsed neutron beams in the world available for an international
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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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technical leadership in AI security evaluation mechanisms. Required Qualifications Master’s Degree in Computer Science, Computer Engineering, Cybersecurity, or related fields with 7-10 years of experience