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the last five years. Preferred Qualifications: Background in in-situ process monitoring for metal AM, particularly DED. Hands-on experience with sensor hardware and data acquisition systems. Experience with
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) and scientific imaging. This position emphasizes bridging cutting-edge ML/AI with real-world imaging systems in collaboration with experimental scientists, leveraging facilities such as the
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engineering, or related fields completed within the last five years. Quantitative and analytical research background applicable to advanced manufacturing technologies and manufacturing systems Experience with
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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 in a wide range of areas, including applied mathematics and computer science, experimental computing systems, scalable algorithms and systems, artificial intelligence and machine learning, data
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. Preferred Qualifications: Experience with experimental and computational approaches to characterizing thermophysical behavior of materials. Experience developing analytical descriptions of material systems
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/ computational science or related field completed within the last five years. Experience in AI/ML. Skills in a programing language are commonly used in AI/ML. Preferred Qualifications: Deep experience in
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), and system-level telemetry tools. Experience in HPC and associated software development for applications, middleware, and/or system software. Flexibility to adapt to diverse R&D projects and tasks
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at scale. Experience in HPC and associated software development for applications, middleware, and/or system software. Flexibility to adapt to diverse R&D projects and tasks. Effective communicator in both
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, probability theory, privacy definitions, and apply it to develop efficient privacy preserved federated learning model. Communicate and coordinate experimental results with other domain experts to facilitate