Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Argonne
- NEW YORK UNIVERSITY ABU DHABI
- Technical University of Denmark
- Technical University of Munich
- University of Oxford
- ;
- Cornell University
- European Space Agency
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Stony Brook University
- Heriot Watt University
- King Abdullah University of Science and Technology
- Leibniz
- Stanford University
- Texas A&M University
- Umeå University
- ; University of Copenhagen
- Aalborg University
- Brookhaven Lab
- CEA
- CWI
- Chalmers University of Technology
- Florida International University
- Ghent University
- Imperial College London
- Linköping University
- Los Alamos National Laboratory
- Manchester Metropolitan University
- Massachusetts Institute of Technology (MIT)
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- National Renewable Energy Laboratory NREL
- Northeastern University
- Nottingham Trent 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
- Utrecht University
- WIAS Berlin
- Wageningen University and Research Center
- Yale University
- 41 more »
- « less
-
Field
-
to evaluate to what extent ongoing scientific discrepancies and uncertainties are a consequence of (i) people using different methodological approaches, (ii) the types of data considered (including possible
-
for solving problems related to safe robotic exploration and planning under epistemic uncertainty. We typically work with Markov decision processes (MDPs), and are looking for someone with experience in both
-
aims at addressing computational challenges associated with data acquisition and information extraction from complex sensors and sensor networks. Crucially, uncertainty management and quantification
-
at the Cyclotron Institute in stellar models and identify important nuclear-physics uncertainties for stellar models and, with local experimental and theoretical faculty and researchers, design future studies to
-
constraints. Experience conducting sensitivity analyses, generating KPIs, and managing simulation uncertainty. Interest in collaborating across disciplines (electrical, mechanical, policy, IT) and ability
-
, contributing to the development of innovative spatio-temporal analysis and engineering challenges associated with uncertainty. The role supports collaborative investigations, model development, and experimental
-
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
-
Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month 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
-
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