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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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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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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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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