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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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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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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
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missions. Theoretical developments on dust thermodynamics, dynamics, optical properties, and the statistical inference of dust properties are timely with ongoing dust observations from JWST and the upcoming
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background in ecology or geophysics, strong mathematical and statistical skills, and an interest in being on the ground floor of a new space-based observable. Research will include basic discovery science
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data will be analyzed using statistical tools. Learning Objectives: During the appointment, you will have the opportunity to learn; Methods to inoculate and isolate bacterial pathogens from various fresh
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data and for making statistical inferences from survey data; (3) developing plans and techniques for follow-up observations of discovered exoplanets to measure masses and/or atmospheric properties; (4