Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- Oak Ridge National Laboratory
- Delft University of Technology (TU Delft)
- Chalmers University of Technology
- Cornell University
- National Aeronautics and Space Administration (NASA)
- Argonne
- Duke University
- Vrije Universiteit Brussel
- Lehigh University
- Pennsylvania State University
- University of New Hampshire
- Utrecht University
- Yale University
- Aarhus University
- EPFL
- Empa
- Helmholtz Association of German Research Centres
- King Abdullah University of Science and Technology
- King's College London
- Lawrence Berkeley National Laboratory
- Maastricht University (UM)
- NEW YORK UNIVERSITY ABU DHABI
- SciLifeLab
- Technical University of Munich
- UNIVERSITY OF SYDNEY
- University of Amsterdam (UvA)
- University of California
- University of Oxford
- ;
- Aalborg University
- Biophysical and Biomedical Measurement Group - NIST
- Biophysical and Biomedical Measurement Group, National Institute of Standards and Technology
- CNRS
- Carnegie Mellon University
- Copenhagen Business School
- ETH Zürich
- Ecole Normale Supérieure
- Erasmus University Rotterdam
- European Space Agency
- Forschungszentrum Jülich
- Fundació per a la Universitat Oberta de Catalunya
- GFZ Helmholtz-Zentrum für Geoforschung
- George Washington University
- Harvard University
- Heidelberg University
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- INESC ID
- INSERM
- Indiana University
- Inria, the French national research institute for the digital sciences
- Instituto Superior Técnico
- Iowa State University
- Lancaster University
- Lulea University of Technology
- Massachusetts Institute of Technology
- Massachusetts Institute of Technology (MIT)
- National Energy Technology Laboratory (NETL)
- New York University
- Northeastern University
- Royal Holloway, University of London;
- SUNY University at Buffalo
- Stanford University
- Stony Brook University
- Texas A&M University
- The University of Arizona
- U.S. Department of Energy (DOE)
- UNIVERSITY OF VIENNA
- Umeå University
- Umeå universitet stipendiemodul
- University College Cork
- University College Dublin
- University of British Columbia
- University of Connecticut
- University of Copenhagen
- University of Galway
- University of Glasgow
- University of London
- University of Maryland Baltimore County
- University of Minnesota
- University of North Carolina at Chapel Hill
- University of Sydney
- University of Twente (UT)
- University of Utah
- University of Washington
- Virginia Tech
- Vrije Universiteit Amsterdam (VU)
- Vrije Universiteit Brussel (VUB)
- 77 more »
- « less
-
Field
-
beginning in fall 2026, preferably with an interest or focus on statistical foundations of data science, artificial intelligence and machine learning, theoretical statistics and probability, uncertainty
-
to advance the development and application of reliable, interpretable and uncertainty-aware machine learning methods for high-stakes regulated domains, including law, finance, policy and regulatory decision
-
and uncertainty in downstream predictions; fine-tune ARCA for tasks including microbial root competence and crop-relevant outcomes, and iteratively improve the model using experimental Design-Build-Test
-
Contrails are aviation sector’s invisible climate threats with large uncertainties. You’ll investigate contrail formation pathways for various particles through lab experiments. Job description
-
-time data acquisition and telemetry systems Familiarity with cloud computing platforms and edge deployment of ML models Experience with uncertainty quantification, sensitivity analysis, or robust
-
uncertainty in downstream predictions; • fine-tune ARCA for tasks including microbial root competence and crop-relevant outcomes, and iteratively improve the model using experimental Design-Build-Test-Learn
-
to new applications of machine learning and artificial intelligence to analysis of experimental data. Of particular interest will be new approaches for tackling multimodal data, quantifying uncertainty
-
methods for such searches that account for event selection and systematic uncertainties, and to demonstrate them on realistic searches at scale on national HPC resources. The project will primarily use
-
to illuminate the uncertainties around economies of scale for production and logistics of fuels. Currently there is high uncertainty surrounding the decarbonisation options for energy sectors where molecules
-
cardiovascular care. Within the consortium, TU Delft contributes expertise in cardiac mechanics, soft tissue modeling, growth and remodeling, machine learning, and uncertainty-aware model personalization. As a