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systems (Mojo, Julia, Rust, Python), and HPC system co‑design. This position is embedded within the larger DOE ASCR ecosystem, with direct relevance to ongoing efforts, and related AI‑for‑HPC thrusts
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Qualifications: Ph.D. (within 0–5 years) in computational bioscience, computational biophysics, computer science, or a related field Strong programming skills in C++, Python, or similar scientific computing
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working at the intersection of material science, advanced manufacturing, and digital manufacturing Programming skills using Python or modern C/C++/C# Demonstrated experience conceiving and executing
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within the last 5 years. Programming experience including the use of one or more of C/C++, Python, Fortran, Git, and CMake. Writing and communication skills and the ability to publish. Preferred
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in aberration-corrected STEM and EELS. Background in Python or MatLab. Excellent written and oral communication skills. Motivated self-starter with the ability to work independently and to participate
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. Familiarity with Python programming. Experience with modern software development practices to ensure code quality. Experience with computational geometry. Excellent written and oral communication skills
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-domain Demonstrated expertise with scientific analysis and programming software such as C, Python, MATLAB, Igor, or comparable equivalent A background in productive and creative research efforts
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research (batteries, electrochemistry, or related fields) Proficiency in scientific programming (e.g., Python, C/C++, MATLAB, R, Julia) Experience with quantitative image analysis or tomographic
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understanding of ferroelectrics, especially in thin film form. Experience in Python and/or Matlab. Experience in materials characterization techniques such as Raman, X-ray diffraction, and scanning electron
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electronics. Experience in C/C++, Matlab, and Python programming. Experience in power systems software like PSCAD, PSS/e. Preferred Qualifications: Experience in real-time simulation hardware like Opal-RT and