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, partnerships, data, analytics, and innovative technologies across CDC and partner organizations to strengthen the nation's ability to identify and understand emerging biological threats. Artificial intelligence
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techniques. You will have the opportunity to participate in various projects utilizing artificial intelligence (AI) and machine learning (ML) to develop applications that optimize combat casualty care
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agriculture. The vision of the agency is to provide global leadership in agricultural discoveries through scientific excellence. ARS’s SCINet/Artificial Intelligence (AI) Center of Excellence Research
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workforce for the nation Learning from the Bureau of Transportation Statistics (BTS) to modernize artificial intelligence (AI) initiatives into the BTS information technology (IT) systems. Within BTS
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to artificial-intelligence-driven monitoring systems to forecast and manage stored product insect populations and insecticide resistance. Home to Kansas State University and The Flint Hills, Manhattan, KS
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Experience or interest in artificial intelligence (AI), machine learning, or AI-assisted workflow automation Experience with software testing, beta testing, user acceptance testing, or information system
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have an interest in substance use, posttraumatic and/or operational stress, suicidality, and artificial intelligence/machine learning (AI/ML). What will I be doing and why should I apply? As the selected
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the application of machine learning/artificial intelligence (ML/AI) in environmental health. This project aligns with ATSDR's current strategic initiatives and will provide you with opportunities
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or deliberate attack, CDC fights disease and supports communities and citizens to do the same. Research Project: This opportunity focuses on the study and application of artificial intelligence and machine
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biology, genetics, and artificial intelligence, including: statistical methods of marker-trait association, methods for determining syntenic relationships and for calculating and representing pan-genome