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avian influenza (HPAI) airborne transmission between U.S. poultry facilities. The primary focus of this opportunity will be learning to develop statistical and mathematical models to assess airborne
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sequencing in cattle. Developing better statistical methods to improve association studies with QTL and enhancing genetic prediction tools for automation of data processing required for SNP use in livestock
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focuses on AI-based screening and statistical analysis research of pathogen-host protein interactions to explore key host proteins involved in arbovirus replication within arthropod vectors. Participants
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skills: Experience in statistical programming in languages such as R (ideal) or Python. An understanding of linear models and probability. A background in biology, with a preference for cellular biology
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the statistical agency within the U.S. Department of Energy (DOE). It collects, processes, analyzes, and publishes data to inform the economic activities of the American people and policymaking by DOE
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and Medical Sciences (51 ) Mathematics and Statistics (11 ) Physics (16 ) Science & Engineering-related (2 ) Social and Behavioral Sciences (29 ) ORISE GO The ORISE GO mobile app helps you
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techniques, modern sequencing technologies, advanced statistical and computational tools, and interdisciplinary teamwork. Mentor(s): The mentor for this opportunity is Yulin Jia (yulin.jia@usda.gov ). If you
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System modeling - Statistics and data science (especially, multivariate statistics, Bayesian statistics) - Remote sensing theory (e.g., radiative transfer physics; algorithm development) - Remote sensing
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after one is appointed. Application Deadline 7/31/2026 11:59:00 PM Eastern Time Zone Description We are the U.S. Department of Transportation's Bureau of Transportation Statistics (BTS) Office of
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of filtration devices against aerosol challenges. Data Management: You will learn how to record observations, enter data into analysis software packages, and perform preliminary statistical analyses. At the end