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experiments using high-level programming languages (e.g., Python, MATLAB, R, or Julia). Curate and integrate experimental data to calibrate and validate models, including parameter estimation and uncertainty
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include MATLAB, Labview, Python and/or C++. Requirements: PhD Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability
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expected to develop their own active research portfolio, especially as it provides complementary synergies with other EAP activities and themes. More information on the EAP is available at https
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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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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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data, and apply the computational methods to understand biomedical problems like tumor microenvironment, immunology, and aging. The individual will work with Dr. Yi Zhang (https://yi-zhang-compbio
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scientific programming (Python, MATLAB, C/Fortran, or equivalent) and high-performance computing workflows. Proven ability to work across disciplines and manage complex modeling tasks. Excellent written and