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well as to other tasks related to this research program in order to solve important problems. He/she will likely implement different algorithms in Python and potentially other programming languages. The postdoctoral
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, immunology, high dimensional omics analysis, or mass spectrometry. • Strong data analysis skills using R, Python, or equivalent. • Excellent verbal and written communication skills. • Ability to work both
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workflows and ensure consistency across studies. · Use SAS and other analytical tools (e.g., R, Python) to build custom reports and visualizations to monitor data quality and support operational decisions
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audiences, including academics, policy makers, and advocates, preferred Demonstrated ability to use analytical software such as R, Python, Nvivo, or other platforms, preferred Very detail-oriented Exceptional
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Python or R, and SQL. Experience with creating dashboards or other data visualizations within analytics platforms. Understanding of different data formatting (JSON, CSV, Parquet) and data storage models
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(including R and Python). Demonstrated success managing study data and authorship on published reports, conference abstracts, and peer-reviewed papers is highly desirable. Duke University provides an annual
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Qualifications Education At least master degree in Computer Science or other related computational majors. Experience See job description for requirements. Skills Python programming, AI model programming, large
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the umbrella of the public sector innovation initiative at Duke University. Solid background in programming (e.g. Python) is required. The goal is to find a solutions to consider materials infrastructures in
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our ongoing studies. Ideal Candidate Qualifications: Previous research experience with animals, a strong interest in neuroscience, and the ability to code in Matlab and/or Python. Excellent attention
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field in a quantitative discipline. Experience: · None required above education/training requirements · Preferred experience in computational biology, image analyses, programming skills in Python or R