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an undergraduate program in computer science, engineering, neuroscience, cognitive science, or related fields. Basic familiarity with Python or similar languages; ability to read code and understand debugging
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is preferred. Industry experience can be an advantage, if relevant to the project. High proficiency in coding (e.g., Python, R, MATLAB, JavaScript), data management, and scientific data analysis, as
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of grant applications. Assists and supervises student research and code development. Provide some administrative support, including website updates, new student onboarding, and lab organization. Assist with
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widely used by the academic community (about one thousand citations per year), and has been a flagship code of the MaX European Centre of Excellence for exascale computing in Materials Science (www.max
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hand by the start of the appointment. Preferred Qualifications: Strong background in one or more of the following areas: (1) image processing, (2) weak gravitational lensing, (3) coding and software
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-PA-2026-0004 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-NEA-2025-0261 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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productivity across ideation, coding, experimentation, analysis, and writing. Interpreting results critically and positioning contributions within the broader research literature. Publishing research outcomes
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the performance and scalability of large-scale molecular dynamics simulations (e.g. LAMMPS) using machine-learned potentials (e.g. MACE) through algorithmic improvements, code parallelization, performance analysis
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systems, social sciences, epidemiology or other health-related fields. Demonstrated proficiency through previous developed analytical codes with R Language for Statistical Computing and/or Python The ideal