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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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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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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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processing ● Proven experience in scientific programming in Python and/or C++ ● Deep familiarity with collaborative software engineering practices (Git, testing, code reviews, CI/CD) ● Demonstrated
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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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cloud platforms (Azure, AWS, Google Cloud). Skills in Python coding, database design/programming, and AI implementation. Knowledge of software development processes (including Agile) and product
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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
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, deep learning, or statistical modeling. Demonstrated experience working with clinical, digital health, or related biomedical data. Proficiency in Python, R, or other scientific programming languages