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of degree equivalency. Preferred Qualifications: Background in medical imaging, imaging simulation, and machine learning. Programming in Python, MATLAB, C, CUDA. Other Requirements: This position is hybrid
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into insights that drive real-world impact. Key Responsibilities: Research & Data Analysis •Conduct advanced quantitative analyses using R, Python, or GIS. •Apply environmental, economic, health, and demographic
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, and code libraries to streamline clinical data workflows and ensure consistency across studies. · Use SAS and other analytical tools (e.g., R, Python) to build custom reports and visualizations
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or a related field desirable but not required with expertise in econometrics and field experiments. •Strong proficiency in statistical software (e.g., Stata, R, or Python). •Proven experience managing
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, Economics, Statistics, Computer Science, Engineering, or Mathematics. A demonstrated passion for investing and a strong desire to learn about financial markets. Strong proficiency in R or Python for data
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demonstrated proficiency in statistical software (e.g., R, Python, PLINK, SAIGE). Familiarity with chronic kidney disease phenotypes and population-based studies. Excellent organizational, communication, and
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programming and analytical skills (e.g., Python, R, GIS, modeling frameworks). Experience working with EO data, disease surveillance data, or socio-environmental modeling. Demonstrated interest in
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strong interest in neuroscience, and the ability to code in Matlab and/or Python. · Excellent attention to detail, adaptability, and capacity for independent work. · A minimum 2-year commitment is highly
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. Additional Qualifications: • Proficiency in Python, R, SQL, and/or other relevant programming languages; knowledge of Java or C++; familiarity with shell scripting, cluster or cloud computing infrastructure
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to present results periodically at group lab meetings. Knowledge of Solidworks or other CAD software, Matlab, Python or C++ would be beneficial. Duke is an Equal Opportunity Employer committed to providing