Sort by
Refine Your Search
-
, 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
-
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
-
competitiveness and excellence of our agriculture. The vision of the agency is to provide global leadership in agricultural discoveries through scientific excellence. ARS’s SCINet/Artificial Intelligence (AI
-
and computational modeling applications in drug development and use of artificial intelligence for data mining. You will gain experience in regulatory toxicology assessment, computational modeling
-
opportunities designed to build expertise at the intersection of data science, artificial intelligence, and regulatory science. These include: Mentored research experiences with FDA subject matter experts in data
-
. 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 Participation Program
-
. 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 Participation Program
-
Systems Safety Center of Excellence • Intelligent Transportation Systems Joint Program Office • Positioning, Navigation and Timing (PNT) & Spectrum Management • Office of Research, Development & Technology
-
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
-
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