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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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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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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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. Responsibilities include statistical analysis, data scraping, and literature reviews, using tools like Stata, MATLAB, Python, and R. Ideal candidates should have a strong quantitative and programming background
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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
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experience with both standard neuropsychological and basic science behavioral testing strong computer programming experience (MATLAB, or python) familiarity with diffusion imaging analysis methods This is a
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, advising, or consulting on AI or data topics. Experience with both quantitative and qualitative analytical methods. Other Requirements Proficiency in Python and/or R. Skills in survey development, machine
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array of family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ PREFERRED QUALIFICATIONS Master’s degree with quantitative focus preferred. Additional
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., to understand the business needs, goals, etc. Work with senior developers and architects to design and develop solutions. Create code using Python, SQL, etc. and validate function with business teams. Develop