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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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field. Strong programming skills in languages such as Python and/or R; experience with high-performance computing environments is a plus. Demonstrated expertise in one or more of the following areas
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abilities and innovative problem-solving skills • Experience with scripting languages Python and source control management systems (SCM), such as GIT, preferred • Experience with business continuity
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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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computing, or Python programming for AI/ML applications), and/or HCI (such as Introduction to HCI or UI/UX design). Professors of the Practice are non-tenure-track regular rank faculty whose primary focus is
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and or Python required, experience with wireless testbeds desirable, some familiarity with GPU programming desirable (to support collaboration with NVIDIA) Duke is an Equal Opportunity Employer
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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
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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