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analytical skills in SAS, SUDAAN, Stata, R, Python, or related data manipulation and analysis software Experience analyzing complex surveys, developing cohort analyses, and testing health outcomes in cross
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to: Gain experience conducting analyses of national surveillance datasets (e.g., NHANES, NHIS, National Hospitalizations Data) and healthcare databases (e.g., Medicare and Medicaid) to examine clinical and
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. Analytical reporting, visualization, or dashboard development; Apache Hadoop, Apache Spark, cloud computing, or high-performance computing. Git, software testing, code review, or technical documentation
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for comprehensive pathology evaluation to support outbreak and epidemiological investigations. Learning Objectives: You will: Gain experience in molecular testing methods, including PCR-based detection and pathogen
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Experience or interest in artificial intelligence (AI), machine learning, or AI-assisted workflow automation Experience with software testing, beta testing, user acceptance testing, or information system
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Response is seeking a fellowship participant to receive hands-on training in the coordination, development, and implementation of advanced software systems. Through mentorship and experiential learning, you
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population and comparative genomics to examine genetic diversity, selection, pangenome relationships, and functional conservation. You will also develop reproducible GPU- and CPU-based high-performance
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influence drape behavior and identify the most predictive traits for evaluating fabric performance. Machine-learning tools may also be used to examine whether certain fiber traits associated with drape have
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, Safety and Health (ES&H) requirements of the hosting facility, including but not limited to, COVID-19 requirements (e.g. facial covering, physical distancing, testing, vaccination). Questions: Please visit
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, or related data manipulation and analysis software Strong scientific and technical writing skills Experience with analyzing complex surveys, developing cohort analyses, and testing health outcomes in cross