Sort by
Refine Your Search
-
Category
-
Country
-
Program
-
Employer
- Oak Ridge National Laboratory
- NIST
- Delft University of Technology (TU Delft)
- Chalmers University of Technology
- Forschungszentrum Jülich
- NTNU - Norwegian University of Science and Technology
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of British Columbia
- University of Oslo
- Argonne
- Duke University
- Imperial College London
- Lancaster University
- NTNU Norwegian University of Science and Technology
- Nanyang Technological University
- Pennsylvania State University
- SciLifeLab
- The University of Alabama
- University of California
- University of Vienna
- Wageningen University & Research
- Amsterdam UMC
- CNRS
- Carnegie Mellon University
- Center for Devices and Radiological Health (CDRH)
- Center for Drug Evaluation and Research (CDER)
- Centrum Wiskunde en Informatica (CWI)
- ETH Zurich
- ETH Zürich
- Eindhoven University of Technology (TU/e)
- Empa
- European Space Agency
- Ghent University
- King Abdullah University of Science and Technology
- King's College London
- Lawrence Berkeley National Laboratory
- Lehigh University
- Monash University
- National Aeronautics and Space Administration (NASA)
- National University of Singapore
- Technical University of Munich
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- University of London
- University of Minnesota
- University of North Carolina at Chapel Hill
- University of Nottingham
- University of Oxford
- University of Sheffield
- University of Washington
- Uppsala universitet
- VIETNAMESE-GERMAN UNIVERSITY
- Zintellect
- AALTO UNIVERSITY
- ADELAIDE UNIVERSITY
- Aalborg University
- Aarhus University
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- BRGM
- Biophysical and Biomedical Measurement Group - NIST
- CEA
- Cardiff University;
- Constructor Knowledge Labs gGmbH
- Cornell University
- EPFL - Ecole Polytechnique Fédérale de Lausanne
- Earlham Institute
- Fondazione Bruno Kessler
- Fraunhofer-Gesellschaft
- Harvard University
- Helmholtz Association of German Research Centres
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Helmholtz-Zentrum Dresden-Rossendorf •
- Heriot Watt University
- Hong Kong Polytechnic University
- IE University
- IHE
- INESC TEC
- Indiana University
- Indiana University Bloomington
- Inria, the French national research institute for the digital sciences
- Iowa State University
- Iventa Austria Personalwerbung GmbH
- KU LEUVEN
- MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE
- NIST Nanostructure Fabrication and Measurement Group
- National Energy Technology Laboratory (NETL)
- New York University
- North Carolina State University
- Norwegian University of Life Sciences (NMBU)
- REQUIMTE - Rede de Quimica e Tecnologia
- Royal Holloway, University of London;
- SUNY University at Buffalo
- Sapienza Università di Roma - Dipartimento Memotef
- Technische Hochschule Brandenburg
- The University of Manchester
- UNIVERSITAT POMPEU FABRA
- UNIVERSITY OF VIENNA
- University of Alabama at Birmingham
- University of Bergen
- University of Birmingham
- 90 more »
- « less
-
Field
-
Qualifications Experience with graph neural networks, machine-learning interatomic potentials, or related scientific machine-learning methods for atomistic systems. Familiarity with uncertainty quantification
-
on frontier models like Large Language Models (LLMs) and multimodal foundation models. This includes topics such as safety alignment, adversarial training, jailbreaking, uncertainty quantification, and AI
-
applications, including criticality safety, burnup credit, source term generation, and dose rate compliance. Experience with uncertainty quantification, sensitivity analysis, parametric studies, and the
-
Advancing the state of the art in measurements of sound, vibration, force, acceleration and velocity
information into neural networks for modeling dynamic systems; use of uncertainty information to improve the performance of sensor-network based measurements employing machine learning; uncertainty
-
-specialist audiences. Experience in trustworthy AI, uncertainty quantification, interpretability, robustness, high-stakes decision-making, law, finance or regulation would be highly desirable. The role offers
-
and machine-learning methods for rapid surrogate modeling, model calibration, state estimation, uncertainty quantification, and physics-informed prediction. Contribute to U.S. Department of Energy
-
) Familiarity with uncertainty quantification, railway or infrastructure asset management, or geographic information systems is considered an advantage Proficiency in written and spoken English is required, and
-
to SRC kinematics. Develop, test, document, and maintain scientific software for modeling, global fitting, uncertainty quantification, and data interpretation. Explore applications of the developed
-
of computational and applied mathematics, including but not limited to data-driven numerical modeling, scientific machine learning and AI for science and engineering, computational uncertainty quantification
-
inference, counterfactual explanations, or uncertainty quantification in deep learning Evidence of high quality scientific writing, publications, a strong master's thesis, research software, or relevant open