Sort by
Refine Your Search
-
Sciences (4 ) Life Health and Medical Sciences (11 ) Mathematics and Statistics (3 ) ORISE GO The ORISE GO mobile app helps you stay engaged, connected and informed during your ORISE experience – from
-
institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
-
institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
-
cotton fiber structure affects coloration. You will engage with a multidisciplinary team spanning chemistry, plant science, textile technology, engineering, and data science. This team is dedicated to improving
-
USDA-ARS Postdoctoral Research Opportunity: Development of Novel Vaccines for Poultry Viral Diseases
institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
-
biology, or a related discipline). Degree must have been received within the past five years, or anticipated to be received by 7/1/2027. Preferred skills: Experience in bioinformatics or transcriptomic data
-
36 months or anticipated to be received by 12/31/2026 12:00:00 AM. Discipline(s): Life Health and Medical Sciences (6 ) ORISE GO The ORISE GO mobile app helps you stay engaged, connected and informed
-
Location: A research opportunity is currently available with the Division of Regulatory Science and Compliance (DRSC), within the Office of Readiness and Response (ORR) at the Centers for Disease Control and
-
months. Preferred Skills: A background in computer and/or data science with some experience in machine learning, multivariate statistical analysis, artificial intelligence, or computer programming. Some
-
models to evaluate therapeutic efficacy and pharmacokinetic profiles. Gaining exposure to cutting-edge transcriptomic, proteomic, and "imageomic" (high-content image informatics) datasets, as