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Postdoctoral Researcher in the fields of uranium chemistry and nuclear forensics. The role entails performing and leading cutting-edge research on nuclear fuel cycle-related materials with a focus on solid
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conduct organic synthesis, materials characterization, solvent extraction, and solid-phase separation studies to advance sustainable critical mineral recovery technologies. This position resides in
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evolution, phase stress, and defect evolution using advanced data analysis tools. Perform alloy fabrication and processing (e.g., arc melting, heat treatment) and relate processing to performance. Apply
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the project from idea stage to eventually generating quantifiable outcomes such as publications and invention disclosures. Major Duties/Responsibilities: Collaborate with a multidisciplinary team to advance
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Engineering, Materials Science, Materials Engineering, or a related discipline completed in the last five years. Strong hands-on experience in experimental research, including materials synthesis, device
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, welding engineering or a relevant engineering field with emphasis on computational modeling and simulations within the past 5 years Expertise in the development and application of multi-physics simulations
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, instrumentation, and data acquisition systems; conduct laboratory and field testing; and perform thermodynamic analysis, system modeling, and performance assessments. Analyze and interpret experimental and modeling
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, excitations and interactions, phase stability, in a range of quantum materials Responsible for presenting and reporting key scientific results and publishing high-quality research in peer-reviewed journals
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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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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
for model refinement. Perform multi-scale simulations (e.g. DFT / atomistic / phase-field simulations) to train AI/ML models. Conduct scientific research on ferroelectrics and/or 2D memristive materials