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python), computational mechanics and fluid dynamics, numerical methods, machine learning, and the finite element method. In this position, the candidate will develop data-driven multiscale/multiphysics
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. We expect candidates to have substantial experience with statistical analysis and data management in R, Python, or Stata, as well as spatial analysis software. They are expected to bring particular
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, subsetting, and organizing satellite and reanalysis datasets (SMAP, ECOSTRESS, OCO-2/3 SIF, MODIS, ERA5, AmeriFlux) Writing and maintaining Python processing scripts, run on the MSU High Performance
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language such as python and Unix-based operating systems such as MacOS or Linux. These tools are essential to set up, carry out, and analyze molecular simulation trajectories, and to interact with high
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, Electrical and Computer Engineering, or a related field. Strong background in machine learning and deep learning. Experience with LLMs, graph learning, or retrieval systems preferred. Proficiency in Python
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., Python) • Support ongoing research projects related to Great Lakes hydrology and regional water systems • Collaborate with PhD students and research staff to integrate data-driven insights into
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Python) is required, with a preference for Stata. Strong verbal and written communication skills with the ability to synthesize multiple sources. Masters degree required PhD Student in a social science
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position requires writing data-processing and analysis code in Python and C++, familiarity with machine-learning tools, and familiarity with high-performance and high-throughput data processing. A PhD in
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to develop and utilize bioinformatic software pipelines in R, Python, Linux, and Unix for genomic sequence analysis and DNA variant identification. Experience with or knowledge of apple production
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-engineering skills, including experience with Fortran and Python and, preferably, C or C++, APIs, dynamic-link libraries, version control, Linux environments, and high-performance computing. The candidate