Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- NEW YORK UNIVERSITY ABU DHABI
- Argonne
- Technical University of Munich
- ;
- Cornell University
- European Space Agency
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Stony Brook University
- Technical University of Denmark
- University of Oxford
- Heriot Watt University
- King Abdullah University of Science and Technology
- Leibniz
- Stanford University
- Texas A&M University
- Umeå University
- Utrecht University
- ; University of Cambridge
- Aalborg University
- Brookhaven Lab
- CEA
- CWI
- Chalmers University of Technology
- Florida International University
- Ghent University
- Imperial College London
- KINGS COLLEGE LONDON
- King's College London
- Los Alamos National Laboratory
- Manchester Metropolitan University
- Massachusetts Institute of Technology (MIT)
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- NORCE
- National Aeronautics and Space Administration (NASA)
- National Renewable Energy Laboratory NREL
- Northeastern University
- Nottingham Trent University
- Pennsylvania State University
- Rutgers University
- The Ohio State University
- The University of Arizona
- UNIVERSITY OF HELSINKI
- University College Cork
- University of California Berkeley
- University of Delaware
- University of Hull
- University of Miami
- University of Southern California
- University of Southern Denmark
- University of Tübingen
- University of Virginia
- WIAS Berlin
- Wageningen University and Research Center
- Yale University
- 45 more »
- « less
-
Field
-
, contributing to the development of innovative spatio-temporal analysis and engineering challenges associated with uncertainty. The role supports collaborative investigations, model development, and experimental
-
Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
. The Research Atmospheric clouds and aerosols are major sources of uncertainty in weather and climate prediction due to their complex, multi-scale nature — from nanometers to hundreds of kilometers. Turbulence
-
negotiable, preferably in autumn 2025 or in 2026. Background Northern wetlands emit large amounts of methane (CH4), a potent greenhouse gas. There are high uncertainties in the estimation of wetland CH4
-
experts. Good communication skills. . Nice to have experience: Statistical knowledge: Experience in uncertainty analysis, particularly in the context of large datasets and real-world statistical modelling
-
University, and is expected to start in early July 2025. The candidate will be responsible for the following, but not limited to: Conducting research on uncertainty quantification for thermospheric density
-
from electricity generation for charging EVs, buses, trucks, rail, pavement resurfacing, tire and brake wear, and supply chain effects. Conducting life-cycle uncertainty assessments of building materials
-
Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials
Experience in uncertainty quantification or statistics applied to quantum chemistry and machine learning would be advantageous For more details, please take a look at the role profile. We'll still consider
-
erosion and sedimentation processes, aiming to compare results with existing stratigraphic data and drainage evolution models. * Quantitatively assess data uncertainties and result errors throughout
-
from electricity generation for charging EVs, buses, trucks, rail, pavement resurfacing, tire and brake wear, and supply chain effects. Conducting life-cycle uncertainty assessments of building materials
-
inaccuracy, irregular sampling grids, variations in measurement conditions, and other measurement uncertainties. The responsibilities of a research assistant involve developing technical solutions aligned with