77 linked-data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" "https:" positions at Argonne
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energy supply systems, multi-objective and stochastic optimization, advanced statistical analysis, and data visualization. This position offers the opportunity to work with a multidisciplinary team of
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. Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and
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and interpret experimental data and share research findings through scientific conferences and peer-reviewed publications. Key Responsibilities Conduct research on the distribution and behavior
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, electrical characterization, and electrochemical measurements. Perform interfacial characterization to understand bonding mechanisms between nanomaterials and matrix phases. Analyze experimental data, develop
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time The expected hiring range for this position is $72,879.00-$121,465.00. Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be
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, postdocs, and students. May be required to perform other duties as assigned. Position Requirements Ph.D. in Physics, Accelerator Science, Electrical/Computer Engineering, or a closely related field and 4
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candidate will develop a novel multiscale multimodal experimental apparatus with precise control during data acquisition, as well as work on data processing pipeline, adaptable to imaging of energy-conversion
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statement on proposed research (2-page max) and 1-page statement regarding an approach to engage and grow the scientific user program Names and contact information for three professional references RD2
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processes Implement models and perform numerical simulations Analyze and interpret simulation and experimental data Integrate AI tools and workflows to enhance modeling and accelerate learning Collaborate
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The Physical Sciences and Engineering Directorate seeks an outstanding Scientist to lead and support frontier research at the intersection of AI, autonomous platforms, data infrastructure, and