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spectroscopy methods, including data analysis techniques and the use of advanced sample environments. Experience managing multiple research groups or cross-functional scientific teams. Strong record of external
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respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in materials science and engineering, physics, chemistry, electrical engineering, or a
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into machining or manufacturing systems. Experience with data analysis, modeling, or automation using tools such as Python, MATLAB, C#, C++, or similar engineering software environments. Experience with CAD/CAM
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), neuromorphic sensing, video super-resolution, electromagnetics, real-time systems, data mining and analysis, high performance computing, cyber security protection for radar and related training systems, signal
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including tensile, fatigue, creep, impact, and nanoindentation testing. Analyze lattice strain evolution, phase stress, and defect evolution using advanced data analysis tools. Perform alloy fabrication and
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assay systems, data acquisition technologies and analysis methods that support material control and accounting, operational safety for material processing, and nuclear material security protocols. Purpose
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classical optical communications and sensing hardware in critical infrastructure and/or extreme (heat, electrical, high pressure, vacuum, radiation) environments. Experience with data analysis using MATLAB
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or manufacturing systems. Experience with data analysis, modeling, or automation using tools such as Python, MATLAB, C#, C++, or similar engineering software environments. Experience with CAD/CAM/CAE tools such as
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on problems of national significance. The successful candidate will possess advanced knowledge and a range of skills relevant to energy-water research. Examples may include: Analysis and modeling of water
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optimization, and application-driven performance analysis for HPC, scientific Artificial Intelligence (AI), and scientific edge computing. We are a leader in computational and computer science, with signature