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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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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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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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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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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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. 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
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artificial intelligence systems. Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow is mandatory for this position. Prior experience with healthcare data environments accelerates
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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