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, experimentalists, and engineers/physicists conducting basic and applied research in support of the Laboratory’s missions. Participate in the development of multi-physics simulations with machine learning (ML
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, computer science, or engineering within the past 5 years. Previous theoretical and/or computational research experience in tensor networks, Monte Carlo, machine learning or a related field Proficiency in quantum
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this role, you will develop and apply advanced data science, machine learning, and statistical approaches to challenging problems in nuclear nonproliferation and national security. The successful candidate
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, computer engineering, information technology, information systems, science, engineering, business, or a related discipline and a minimum of 5 years professional experience is required for consideration
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monitoring in manufacturing environment Develop modular, extensible workflows for data processing Develop and deploy data analytics, machine learning, and statistical modeling methods for multimodal
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research environment consisting of computational scientists, computer scientists, experimentalists, and engineers/physicists conducting basic and applied research in support of the Laboratory’s missions
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/Computer Engineering, or a closely related discipline. Minimum of 10–12 years of relevant experience (or equivalent) in one or more of the following: geospatial science/engineering, HPC/data center
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Requisition Id 16805 Overview: We are seeking a Computer Scientist or Engineer with a focus on Vulnerability Research who will support the Cyber Resilience and Intelligence Division in the National
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awareness and understanding of open relevant research conducted throughout the DOE complex and the world. Basic Requirements: PhD in Mechanical Engineering, Electrical or Computer Engineering, or related
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hybrid and additive manufacturing systems. Fabricate, install, modify, and evaluate prototype hardware in collaboration with researchers, engineers, technicians, machinists, programmers, and external