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are highly desirable. Familiarity with data science and machine learning applications for analytical chemistry, industrial/agricultural facilities, and techno-economic or life-cycle analysis is considered a
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chronic conditions and illnesses. This research aligns with CVDB's public health mission to strengthen evidence supporting improved recognition and characterization of ME/CFS. Learning Objectives: You will
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nucleic acid extractions, amplicon sequencing, data management and analysis. You will learn how to identify risks and improvement opportunities, ensure compliance with established policies and agency
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interdisciplinary research teams on quantitative analyses of complex genomic datasets; Learn to use remote, high powered computer clusters to process large datasets. Mentor: The mentor for this opportunity is Adam
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., Medicare and Medicaid) to examine clinical and environmental factors associated with CKD incidence and trends. Apply advanced statistical and machine learning methods, including semi-supervised cluster
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virtually. $125 per week stipend based on part-time participation each week. Program provides the opportunity to learn from world-renowned scientists and engineers. Program offers optional professional
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for respiratory virus genomics; Final projects will be developed jointly by the mentor and fellow. Learning Objectives: During the fellowship, you will learn to: Apply bioinformatics and data science methods
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, translation science, and strategic dissemination of scientific and program information. Learn to research and evaluate information sources to ensure the quality, relevance, and accuracy of communications
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also receive training in use of Excel spreadsheets, PowerPoint, Visio, and plotting and statistical analysis using various software platforms. Learning Objectives: Under the guidance of a mentor you will
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efforts. Integration with Emergency Operations Center operations and hospital operations are also desired. Your involvement will be in learning the development of expansion elements, learning