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discipline. Working knowledge of Python. Knowledge of a computing environment (Mac or PC). Ability to work independently and in a team environment. Preferred Qualifications Experienced in working with and
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doctoral degree in epidemiology, biostatistics, bioinformatics, microbiology, or a related field Strong quantitative and statistical skills, with proficiency in R or Python Experience working with
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analysis. · Advanced programming and workflow development skills in Python, R, Bash, and related computational tools for large-scale data analysis and reproducible research. · Experience with
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sensitivity studies using synthetic and real-world data. Develop reproducible, scalable software in Python, MATLAB, and C++ for research and operational transition. Maintain version-controlled repositories
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or data analysis Training & experience in econometrics and causal inference methods, particularly in the context of randomized controlled trials (RCTs) Proficiency in R, Python, Stata, or similar tools
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infection and computational modeling . Preference will be given to candidates with research experience in the core areas of the group’s research; The candidate should have good programming skills (e.g. python
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. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements computational pipelines using MATLAB, Python, or similar platforms. Leads manuscript preparation
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modern machine learning models Strong programming skills in Python and experience building and maintaining research code Demonstrated ability to use modern AI-assisted and agentic coding tools effectively
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, and/or substantial open-source research contributions Demonstrated experience implementing, training, evaluating, or fine-tuning modern machine learning models Strong programming skills in Python and
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contributions Demonstrated experience implementing, training, evaluating, or fine-tuning modern machine learning models Strong programming skills in Python and experience building and maintaining research code