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machine learning algorithms. This position resides in the Manufacturing Systems Analytics (MSA) Group in the Manufacturing Science Division (MSD), Energy Science and Technology Directorate (ESTD), at Oak
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machine learning algorithms. This position resides in the Manufacturing Systems Analytics (MSA) Group in the Manufacturing Science Division (MSD), Energy Science and Technology Directorate (ESTD), at Oak
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machine learning algorithms. This position resides in the Manufacturing Systems Analytics (MSA) Group in the Manufacturing Science Division (MSD), Energy Science and Technology Directorate (ESTD), at Oak
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, retrieval-augmented generation systems, or other AI-enabled tools that improve access to structured or unstructured data. Experience with machine learning, artificial intelligence, and/or natural
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Engineering, or other field relevant to the job duties. Competency in Python and C++ programming. A commitment to lifelong learning. Minimum of 5 years of experience relevant to the job duties listed Preferred
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a focus on multimodal learning, computer vision, and scientific machine learning Develop novel algorithms and architectures for tasks such as multimodal retrieval, reasoning over complex data, and
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data processing and multigroup cross-section generation tools such as AMPX or NJOY. Experience applying artificial intelligence, machine learning, or surrogate modeling methods to nuclear engineering or
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Requisition Id 16688 Overview: We are seeking a Computer Engineer with a focus on Hardware Vulnerability Research who will support the Cyber Resilience and Intelligence Division in the National
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analytics, including correlation analysis and machine learning techniques. Preferred Qualifications: Experience with microstructure characterization techniques (SEM, EBSD, TEM, XRD). Experience in mechanical
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to solve complex problems including information retrieval/extraction, machine learning/deep learning, and networking Special Requirements: Security, Credentialing, and Eligibility Requirements: Export