24 python-"https:"-"CIPMM---Systemic-Neurophysiology"-"UCL" positions at Duke University
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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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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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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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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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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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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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. Preference will be given to applicants with animal handling experience. Some basic computer science background (python or R programming) would be useful. Anticipated Pay Range: Duke University provides
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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
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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