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algorithms with mainstream programming languages such as Julia, Python, Java, C/C++, etc. Proficiency in writing scientific research articles and presenting results at academic conferences. Experience with
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among material properties, electrochemical performance, and battery system cost at the material, cell, and pack levels. The researcher will plan and advance performance and cost modeling of energy storage
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completed in a relevant field of study. Experience with deep learning (DL) frameworks such as PyTorch, TensorFlow, or JAX. Strong programming proficiency in Python. Demonstrated experience with coherent X-ray
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, MATLAB, or similar programming environments for instrument control and data analysis. Excellent written and oral communication skills. Demonstrated ability to work both independently and collaboratively in
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beam (FIB) is preferred Programming proficiency (e.g., Python) for experiment automation and/or image analysis is preferred Background in electronic, magnetic, or optical materials is preferred
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development, and publication in peer-reviewed venues. Strong background in machine learning, with research experience in deep learning, foundation models, or related areas. Solid programming ability in Python
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on experiment progress, technique development, and new initiatives to peer reviewers and Q-NEXT program managers Position Requirements Completed Ph.D. within the last 0-5 years (or soon-to-be-completed) in
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Postdoctoral Appointee - Investigation of Electrocatalytic Interfaces with Advanced X-ray Microscopy
). Proficiency in scientific programming (Python, MATLAB, or equivalent). Ability to work effectively in a multidisciplinary, multi-institutional collaboration. Excellent written and oral communication skills
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: Contributes technical expertise through analysis and support for programs and projects associated with machine learning, HPC, and computational problems related to earth system science and other dynamical
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, ptychography, Laue microdiffraction, or related coherent/imaging techniques. Proven ability to design, conduct, and analyze complex synchrotron experiments. Proficiency in scientific programming (Python, MATLAB