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and emulate trial/observational designs, developing and validating reproducible statistical and forecasting code, comparing performance metrics (bias, variance, calibration, forecast skill), producing
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dangerous health threats, and responds when these arise. Research Project: You will have the opportunity to train alongside PHIAT members who are actively involved in various tasks related to data science
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responses will be targeted as potential leap-ahead areas of development for novel material systems. The role of the Berry curvature dipole, noncentrosymmetry, inversion symmetry breaking, and intrinsic vs
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provide global leadership in agricultural discoveries through scientific excellence. PDI supports ARS researchers and stakeholders by providing technical assistance to develop, host, and maintain public
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expensive and dangerous health threats, and responds when these arise. Research Project: The Capacity Building and Technical Assistance Development Branch (CTAB) is the Division of State and Local Readiness’s
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genomics, and pathogen discovery. The fellowship will focus on the development, evaluation, and application of advanced laboratory and sequencing approaches for the detection and characterization of known
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of projects including, but not limited to: Understanding how to review requests from regulated laboratories Learning how to develop guidance for the regulated community Developing skills required
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. Dedicated graduate student mentors will work closely with you, and through focused professional development activities you will prepare materials necessary to apply for future opportunities. This summer
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reporting, and develop practical tools and infrastructure for laboratory scientists. You will collaborate with bioinformaticians, laboratorians, epidemiologists, data scientists, and other public health
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, and sub-daily to evolutionary time scales. One of the goals of the SCINet Initiative is to develop and apply new technologies, including AI and machine learning (ML), to help solve complex agricultural