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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
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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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(primarily ODEs, but also PDEs and stochastic models) of viral replication and immune processes. Implement simulations and perform computational experiments using high-level programming languages (e.g., Python
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for control and analysis of instruments, applying these systems to the study of human diseases, and acquiring and analyzing clinical data sets. Programming skills should include MATLAB, Labview, Python and/or C
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, processing ultrasound datasets, and supporting modeling and simulations. If you're passionate about image and signal processing and have experience with MATLAB or Python, this is a great chance to apply your
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communication skills. Coding experience is preferred but not indispensable (e.g. R, Julia, Python, Mathematica). Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard
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simulations and perform computational experiments using high-level programming languages (e.g., Python, MATLAB, R, or Julia). Curate and integrate experimental data to calibrate and validate models, including
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predictive models, or working with quantitative data sets in python or R. · Full-stack development skills are preferred but not required. · Exceptional organizational and communication skills. · Ability
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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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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