35 electrical-machine-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at Argonne
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techniques, and evaluating mechanical, electrical, and dielectric performance. The researcher is expected to design and execute independent research while contributing to multidisciplinary team projects
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ideal for someone who enjoys working at the intersection of data science, machine learning, materials research, and experiment, and who is motivated to translate computational advances into real
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The Nuclear Technologies and National Security Directorate (NTNS) is seeking a dynamic and passionate Postdoctoral Appointee with strong background in statistics or machine learning to lead an
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learning, or optimization Strong programming skills in Python and experience with scientific computing and machine-learning libraries Ability to work across experimental, robotic, and computational systems
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or more of the following areas will help candidates succeed in this role: Critical elements and materials Electrical double layer theory and applications Solid-liquid phase transitions and energetics
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bench scale micro-computed tomography and ultrasonic sensing methods to evaluate the state of charge and state of health of iron- and lead-based electrodes. Your research will be complemented by studies
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that influence the development, intensification, and persistence of extreme events, using observational datasets, machine learning, and Earth system modeling. The successful candidate will work with observational
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computational models for industrial capacity planning, logistics optimization, material flow analysis, and supply chain analysis. Apply artificial intelligence, machine learning, LLMs, and advanced statistical
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physical property measurement of non-aqueous solvents (viscosity, density, conductivity, electrochemical window) is desired. Familiarity with design, fabrication, or prototyping including 3D printing
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avenues will be pursued: advancing our toroidal anvil capabilities to extend the maximum achievable pressure ranges; and depositing designed electrical circuits to create advanced multi-modal experiments