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to sensor design, bioinstrumentation, or embedded systems Programming experience (e.g., MATLAB , Python, or similar for data acquisition/analysis) Familiarity with surgical techniques or willingness
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Biology, Computer Science, or a related field is required. Substantial experience in machine learning, Python and R programming, and familiarity with deep learning packages (e.g., TensorFlow, Keras
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Qualifications Proficiency in statistical software (R, Python, etc.), and working knowledge of data management protocols. Experience with exposome or environmental data, multiomics integration, and
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research, health policy, economics, statistics, or a related quantitative field Additional Qualifications Strong skills in Stata, R and/or Python and experience analyzing complex data Demonstrated
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following: Bayesian methods, deep learning, spatiotemporal modeling, high-dimensional statistics. ● Proficiency in statistical programming (R and/or Python) and good practices for reproducible research
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datasets. Proficiency in statistical software (R, Python, etc.), and working knowledge of data management protocols. Experience with exposome or environmental data, multiomics integration, and exposure
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one of the following: Spatiotemporal modeling or geospatial/temporal data analysis Causal inference ● Strong programming skills in Python and experience with PyTorch, required to have experience
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Strong programming skills in Python and experience with PyTorch, required to have experience developing code with a team through collaborative version control Experience working with large datasets
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, computer science, or closely related field with 2+ years of relevant experience. Proficiency in statistical programming languages (R, SQL , or Python) is required. Additional Qualifications Master’s
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(bowtie2, bwa, tophat, etc.) is desired. Fluent in one programming language (Python, C, C++ or Java) and familiarity with scripting languages (bash, Perl). Knowledge of Unix operating system, terminal