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, and maintain analytical pipelines and software; Evaluate emerging bioinformatics tools, datasets, and analytical methods; Collaborate on scientific presentations, technical documentation, posters, and
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genetic assessment tools and methodologies using software programs such as ADMIXTURE, TreeMix, and GONe. Mentor(s): The mentor for this opportunity is Harvey Blackburn ([email protected] ). If you
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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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). Degree must have been received within the past five years. Preferred skills: Programming and analytical skills in SAS, SUDAAN, Stata, R, Python, or related data manipulation and analysis software Strong
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and code repositories for open-source software related to UAV imagery processing and ecological community dynamics. You will also have the opportunity to take on-line courses in scientific topics
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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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computing pipelines and package models and analytical methods as documented, reusable research software and community resources. You will be encouraged to participate in SCINet and AI Center of Excellence
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software and analytical tools. Gain exposure to specimen review, quality control, and laboratory data documentation practices used in molecular diagnostics. Learn quality management principles and practice
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Microsoft Office applications and familiarity with statistical analysis methods and software. Critical thinking and scientific judgment to evaluate complex environmental health data and site conditions to
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[email protected] and include the reference code for this opportunity. Qualifications The qualified candidate should have received or currently pursing a PhD in one of the relevant fields, i.e., Analytical