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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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federal/state and payer-specific billing requirements. This role also includes responsibilities for system maintenance, light programming, and leveraging scripting skills in Visual Basic and Python
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Development (20%): Write clean, modular, and well-documented code in C#, C++, Python, or related languages. Develop internal tools for experiment control, device communication, calibration, and data management
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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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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
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: Strong interest in community engagement, data science, or social impact Experience with data analysis tools (e.g., Excel, R, Python, GIS, etc.) is a plus Excellent written and verbal communication skills
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MATLAB, Python, or similar platforms for signal processing and statistical analysis. Maintain accurate records of data and experiments, adhering to laboratory protocols. Device Fabrication & Testing
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with OFDM modulation required. Skills Programming skills in MATLAB and or Python required, experience with wireless testbeds desirable, some familiarity with GPU programming desirable (to support
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programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ PREFERRED ATTRIBUTES Master’s degree preferred. Experience working in academic medicine or healthcare preferred. Familiarity
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. Mastery of R and Python is required to execute complex bioinformatics algorithms and statistical models. The applicant exhibits a deep understanding of human immunology and the physiological responses