Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
data that the post-doc would analyze. Data analysis projects would be used to examine and compare data sets to search for trends and differences spatially and temporally. Examples of recent work
-
Organization National Aeronautics and Space Administration (NASA) Reference Code 0081-NPP-NOV26-ARC-EarthSci How to Apply All applications must be submitted in Zintellect Please visit the NASA Postdoctoral Program website for application instructions and requirements: How to Apply | NASA...
-
operations professionals, national forest system staff, state foresters in the region, and contractors. The emphasis of the project will be the analysis of past restoration treatments relevant
-
production and machine learning application, and basin petroleum system modeling and data analysis, depending on qualification and project availability. Stipend: The selected participant will receive a monthly
-
simulations for gas production and machine learning application, and basin petroleum system modeling and data analysis, depending on qualification and project availability. Stipend: Participants receive a
-
machine learning, image recognition, and prediction of damage to tree nuts from insect pests. They will also collaborate with other team members on statistical analysis of data collected as part of
-
techniques with high-resolution mass spectrometry for the analysis of phytochemicals. Hand-on experiences on growing agricultural products in controlled environmental agriculture (CEA) Analytical method
-
genomes has increased greatly with current technologies, but the necessity of characterization of sex chromosomes and their structural annotation represents a bottleneck in the analysis of newly assembled
-
, broad lava plains, ancient impact basins, and the largest volcano in the solar system. We use multiple analysis techniques to understand the formation, modification, and age of planetary materials
-
Project: This research is a component of ARS National Programs 305 (Crop Production) and 304 (Crop Protection & Quarantine). Throughout the course of this project, the participant will learn about project