Sort by
Refine Your Search
-
received within the past five years. Preferred skills: Interdisciplinary training combining biological or public health sciences with data analytics or information technology is desirable. Experience with
-
participate in research and analytical activities that advance FDA's regulatory science mission through applied data science and AI. Fellowship activities are organized across four interconnected project areas
-
application consists of: An application Transcripts – Click here for detailed information about acceptable transcripts A current resume/CV, including academic history, employment history, relevant experiences
-
spectrometry (GC-IRMS) capabilities. The project connects analytical chemistry theory with practice through method development, validation, documentation, quality systems, data interpretation, laboratory safety
-
health objectives. Strengthening analytical skills through evaluation of pathway utilization data and associated public health outcomes. Exploring how regulatory evidence and policy analysis contribute
-
surveillance initiatives. Laboratory data-management skills: You will learn to operate various instrument software and a laboratory management database for analytical result review, laboratory information
-
, 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
-
virus genomics, bioinformatics, data science, and scientific computing. The fellowship will focus on using genomic and laboratory data to strengthen respiratory virus surveillance, improve analytical
-
, partnerships, data, analytics, and innovative technologies across CDC and partner organizations to strengthen the nation's ability to identify and understand emerging biological threats. A key research and
-
scientific methods and analytical approaches used to support the mission of the ATSDR Office of Innovation and Analytics (OIA). You will gain hands-on experience with computational, data science, and other