Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
related area, including meteorology, hydrometeorology, remote sensing, surface and atmospheric modeling, or related fields. Experience in machine learning techniques are highly desirable. Please see https
-
. Specifically, the aims are to develop algorithms to retrieve from PACE, GLIMR, and/or SBG remote sensing reflectance, (1) ocean phytoplankton community composition targeting the major taxonomic groups, (2
-
Organization U.S. Department of Defense (DOD) Reference Code ERDC-CHL-2025-0011 How to Apply Click on Apply now to start your application. Application Deadline 8/31/2025 3:00:00 PM Eastern Time Zone Description The U.S. Army Engineer Research and Development Center's Coastal & Hydraulics...
-
and surveillance. This opportunity is aimed at furthering knowledge of military deployment health risk assessment and the use of satellite based remote sensing for exposure assessment. Where will I be
-
ground. Here the atmosphere is to be characterized as a complex random medium with spatial-temporal fluctuations. Advanced computational techniques are needed. (2) Acoustic remote sensing
-
into the solar wind. This property provides a valuable means to connect coronal plasma signatures to in situ solar wind measurements. The project may also involve comparing these remote-sensing observations with
-
in timber and non-timber forest products with remote sensing and other geospatial data, or to improve forest management and reduce wildfire risk through improved understanding of the dynamics
-
to conduct strategic analyses to identify where USDA science can drive the greatest impact and contribute to the operations of USDA’s plant science, natural resources, remote sensing, and innovation portfolios
-
Environments, and Optical Sciences Remote Sensing and Radiation Detection Hypersonics and Re-entry Vehicles Radiation Effects on Electronics Where will I be located? The participant will have the ability
-
in timber and non-timber forest products with remote sensing and other geospatial data, or to improve forest management and reduce wildfire risk through improved understanding of the dynamics