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Polarization Lab for scientific research on human-AI interaction on social media. The ideal candidate will possess advanced knowledge of R and/or Python software, have experience performing statistical analyses
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field. Strong programming skills in languages such as Python and/or R; experience with high-performance computing environments is a plus. Demonstrated expertise in one or more of the following areas
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and or Python required, experience with wireless testbeds desirable, some familiarity with GPU programming desirable (to support collaboration with NVIDIA) Duke is an Equal Opportunity Employer
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, deep learning Computational genomics, network modeling, spatiotemporal/functional data analysis, time-series Strong programming in R and/or Python; best practices in reproducible research Excellent
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and experience: • Strong background in experimental design and/or causal inference (lab, field, or online experiments) • Extensive experience with data analysis (e.g., R, Python, or similar) • A clear
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learning models, and willingness to learn about new methods, is a plus. · Strong programming skills in Python, and Linux Shell; experience in developing methods as open source repositories at e.g. GitHub is
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, deep learning, or statistical modeling. Demonstrated experience working with clinical, digital health, or related biomedical data. Proficiency in Python, R, or other scientific programming languages
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● Strong background in observational or computational cosmology, large-scale structure, weak lensing or image processing ● Proven experience in scientific programming in Python and/or C++ ● Deep familiarity