45 Earth Sciences Postdoctoral research jobs at Oak Ridge National Laboratory in united-state
-
your science and technology expertise toward solving the problems of a changing climate? Do you want to build your professional experience through collaboration with world-leading researchers and
-
you wanting to turn your science and technology expertise toward solving the problems of a changing climate? Do you want to build your professional experience through collaboration with world-leading
-
wanting to turn your science and technology expertise toward solving the problems of a changing climate? Do you want to build your professional experience through collaboration with world-leading
-
computing (HPC) system for open science in the world, Frontier. The candidate will join a team of computer vision, machine learning, and data science experts to accomplish project goals. The candidate will
-
around applying machine learning and computational methods to problems in science and engineering with experience solving problems in science and engineering that involve encounters with real world data
-
computational methods. Then you will be applying nGI in addressing critical scientific questions in material science research. In this project, you will also have the opportunity to access other world class
-
in addressing critical scientific questions in material science research. In this project, you will also have the opportunity to access other world class neutron scattering capabilities that would
-
), Earth systems science (land, water, ecosystems, and biodiversity), and human dynamics, as well as various other research domains ranging from advanced materials and nuclear science to high-performance
-
data analysis. Under the mentorship of senior research staff, a selected applicant will take roles on multidisciplinary teams supporting ground breaking research and engineering with large-scale
-
Requisition Id 13043 Overview: We are seeking Postdoctoral Research Associates who will support the Computational Earth Sciences (CES) Group in the Computational Sciences and Engineering Division