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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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in soil processes, plant physiology, plant traits, and species composition Strong data analysis skills, including proficiency in R or Python coding, and/or machine learning techniques Excellent writing
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postdoctoral appointee will use a combination of synchrotron X-ray surface scattering and imaging approaches. The work also involves the interpretation of experimental data and the presentation of results
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