Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Employer
- Lunds universitet
- Luxembourg Institute of Science and Technology
- National Aeronautics and Space Administration (NASA)
- Nature Careers
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- UNIVERSITE ANGERS
- University of Bergen
- University of Lund
- University of South Carolina
- University of Texas at Dallas
-
Field
-
and field monitoring work performed by a PhD student at LIST and other researchers in LAFI, and extend the existing Vegetation Optimality Model (VOM, https://vom.readthedocs.io ) to test the following
-
discrete black box combinatorial optimization problems (https://arxiv.org/abs/2510.01824 ). In this work, we parameterize a multivariate autoregressive generative model for generating solutions. By sampling
-
and field monitoring work performed by a PhD student at LIST and other researchers in LAFI, and extend the existing Vegetation Optimality Model (VOM, https://vom.readthedocs.io ) to test the following
-
(RuzicaDadic), University of Fribourg (Martina Barandun and Horst Machguth), and ETHZurich (Evan Miles). The core team consists of the 4 PIs, 4 PhD students, and 4 Postdocsand aims to quantify the impact of
-
National Aeronautics and Space Administration (NASA) | New York City, New York | United States | about 2 months ago
. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). The climate system can be considered in terms of the net imbalance between absorbed shortwave radiation
-
research area MERGE (https://www.merge.lu.se ), focused on climate modelling. Aerosol research has been conducted at Lund since the 1970s and is now a designated profile area at LTH (https://www.lth.se
-
mass loss through sublimation and snow redistribution. The PhD candidate will develop/test model parameterizations constrained and evaluated using field observations. The candidate will lead a field
-
practical parameterizations of identified distortions that can be used to model and correct for their effects on the data. Finally, the project will develop PSV master curves for Kerguelen and South Georgia
-
-dependent parameterizations of air–sea fluxes. Minimum Education and Experience Ph.D in a related field. Preferred Education and Experience PhD in Mechanical Engineering, Physical Oceanography, or related
-
" section on the Applicant Portal at https://uscjobs.sc.edu. Research Grant or Time-limited positions may be eligible for all, some, or no benefits, based on the grant or project funding. South Carolina