69 python "https:" "BCAM The Basque Center for Applied Mathematics" research jobs at Duke University
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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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at https://energyaccess.duke.edu/ . The scholar selected for this position will work closely with EAP faculty (including Profs. Marc Jeuland and Robyn Meeks) and with co-director Jonathan Phillips, as
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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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systems, social sciences, epidemiology or other health-related fields. Demonstrated proficiency through previous developed analytical codes with R Language for Statistical Computing and/or Python The ideal
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proficiency in statistical programming (e.g., R, SAS, STATA, or Python) Have interest or experience in cancer epidemiology, genomics, and/or social determinants of health Exhibit strong critical thinking
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computing is strongly preferred. Training or demonstrated research experience in healthcare applications is a plus. SKILLS: Strong programming skills (e.g., C#, C++, Python) Proficiency in XR development
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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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is highly desirable. A strong record of research publications is preferred. SKILLS: Strong programming skills (e.g., Python, C/C++, CUDA or similar); Background in algorithms for physical design