Sort by
Refine Your Search
-
(BDCL), within the Nutritional Biomarkers Branch (NBB), Division of Laboratory Sciences (DLS), National Center for Environmental Health (NCEH), develops and applies analytical methods for measuring
-
translation, technical assistance, training and partnership development. For more information, visit: https://www.cdc.gov/nccdphp/dcpc/index.htm https://www.cdc.gov/comprehensive-cancer-control/about/index.html
-
inference) Algorithmic development for bilevel (or multilevel) optimization Methodological developments in Bayesian statistics and/or decision analysis Application of adversarial risk analysis within security
-
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 problems that also depend
-
developing algorithms for RNA-seq and whole-genome data. Learning Objectives: Under the guidance of mentors, you will have the opportunity to learn to: (a) conduct research using swine infection models; and (b
-
of Defense (DoD) is offering a post-doctoral fellowship at the U.S. Army Medical Research and Development Command - Institute of Surgical Research (USAMRDC ISR) within the Expeditionary Medical Systems (EMS
-
health threats, and responds when these arise. Research Project: The DPS leverages partnerships to support CDC in developing the capacity of the public health system and state, tribal, local, and
-
to develop genetic, genomic and molecular resources for for supporting the barley and oat research. Research Project: You will be involved with one of the two research projects: I. Barley genetics and
-
and analyze trait measurements related to plant development, plant physiology, and seed yield under different irrigation regimes in two locations with different weather patterns. You will also aid in
-
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