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preferred, Python OK) and demonstrated ability to communicate research findings evidenced through peer-reviewed manuscripts and conference presentations. Highly desirable additional areas of expertise include
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Experience with one or more programming or analysis tools such as Python, MATLAB, LabVIEW, or similar platforms Demonstrated ability to design and execute independent research Strong written and verbal
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with, and proficiency in, scientific programming in Python or MATLAB. Preferred Qualifications Experience with distributed acoustic sensing, nodal arrays, or other dense seismic deployments. Experience
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common scientific programming languages such as C++, Python, and/or Julia and version control systems. Experience in parallel programming with one or more common parallel programming models, like MPI
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. Responsibilities: Conduct empirical research on responses to hazardous weather using mobility data Clean, manage, and analyze large mobility datasets using python and modern econometric and computational tools
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or applying AI/ML approaches to Earth, environmental, ecological, hydrological, or geospatial problems. Experience with programming in Python, GEE, or R, and working with modern scientific computing and/or AI
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computing environments and experience with commonly used programming or statistical languages, such as R or Python, are also required. Desired: Previous experience with viral metagenomic pipelines, viral
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, biological sciences, computer science, machine learning) Demonstrated quantitative skills, including proficiency in programming (R and/or Python) Previous experience developing statistical methods or working
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, transcriptomics, metabolomics, phenomics, microbiome) for predictive modeling and biological interpretation. •Proficiency in Python, R, AI/ML frameworks, and bioinformatics pipelines for high-throughput data
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experience in: Mammalian cell culture. High-performance computing environments. UNIX and Python and/or R. Reverse genetics systems or viral culture. Advanced statistical or computational data analysis