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shaping the future of computational education at Duke. Minimum Requirements 2–4 years of professional software development experience. Proficiency in Python 3.10+ and async/await patterns. Experience with
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, mathematical, and financial modeling skills to research tasks and analytical deliverables. Utilize R, Python, or similar programming tools to manage, analyze, and interpret large datasets. Prepare and deliver
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Questionnaires, Body Weights). · Data analysis and visualization skills (Power BI, Excel, R, Python, etc.). · Previous interdisciplinary work and communication within a comprehensive high-performance environment
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software (e.g., R, Python, PLINK, SAIGE). Familiarity with chronic kidney disease phenotypes and population-based studies. Excellent organizational, communication, and documentation skills. Ability to work
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working with large datasets Proficiency in Excel and R, Python, or Stata Ability to synthesize and communicate complex findings Strong written, verbal, organizational, and project management skills Choose
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that supports innovation in laboratory imaging systems. Be Bold. What You’ll Do: - Develop software control and user interfaces for custom laboratory imaging devices. - Utilize Python, C++, hardware
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, Computer Science, or another quantitative field. • Proficiency with data analysis in Python or R, and SQL. • Experience with creating dashboards or other data visualizations within analytics platforms
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field. • Preferred experience in computational biology, single‑cell perturbation data analysis, and programming in Python or R. • Interest in machine learning, cancer genomics, and single‑cell
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with quantitative data analysis using R and/or Python Demonstrated skills with qualitative research Demonstrated skill in project management and scientific project coordination • Proficiency in Swahili
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with quantitative data analysis using R and/or Python Demonstrated skills with qualitative research Demonstrated skill in project management and scientific project coordination • Proficiency in Swahili