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ultrasound, wearable and accelerometry-derived loading or physical activity analytics, gait biomechanics, or circulating biomarker analysis. Programming proficiency in R, Python, or MATLAB. Experience with
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systems Expert-level Python; strong PyTorch/TensorFlow skills Demonstrated experience deploying ML models to production Proven track record of delivering reliable, scalable systems Strong software
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Minimum Requirements 1. A PhD in Mechanical, Civil, Materials, Aerospace Engineering (focus on solid mechanics, dynamics / vibrations). 2. Proficiency in Matlab and/or Python. 3. Experience in Finite
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troubleshooting. Strong Python skills are required for workflow automation, data processing, testing, and model orchestration. Familiarity with C or C++, APIs, dynamic-link libraries, version control, Linux
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Python and R programming for statistical modeling, data visualization, and integration of large-scale genomics datasets Participate in the design of strategic data acquisition plans to support ongoing
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used for scientific computing and data analysis, such as Python, R, Julia, or equivalent. Desired Qualifications Ph.D. in Physics, Statistics, Computer Science, Mathematics, Applied Mathematics
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applications. Data Analysis and Dissemination: Conduct statistical and genomic analyses using R, Python, and bioinformatics tools. Prepare manuscripts for peer-reviewed journals and present findings
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, data analysis, and visualization environments/IDEs (e.g., R/R Studio, Python/Spyder/VSCode) Familiarity with GIS methods and cloud-based computing resources (e.g., Google Earth Engine) for large-scale
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integrating geophysical data with groundwater or vadose zone models Familiarity with irrigation systems and agricultural water management Programming experience (e.g., Python, MATLAB, R) for data analysis and
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with bioinformatic analysis of high-throughput sequencing data Proficiency in R, Python, or other relevant computational tools Evidence of scholarly productivity (peer-reviewed publications) Excellent