Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Sweden
- Denmark
- Germany
- France
- Morocco
- Netherlands
- United Arab Emirates
- Belgium
- Luxembourg
- Australia
- Hong Kong
- Spain
- Norway
- Singapore
- Ireland
- Brazil
- Finland
- Italy
- Poland
- Portugal
- Switzerland
- Canada
- Japan
- Mexico
- Austria
- Saudi Arabia
- Benin
- Bulgaria
- China
- Cyprus
- Iceland
- Israel
- Latvia
- New Zealand
- Slovakia
- Slovenia
- South Africa
- Taiwan
- Vietnam
- Worldwide
- 32 more »
- « less
-
Employer
- Nature Careers
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- University of Oxford
- Argonne
- Cornell University
- University of Miami
- NEW YORK UNIVERSITY ABU DHABI
- Duke University
- New York University
- CNRS
- Oak Ridge National Laboratory
- Technical University of Munich
- Aarhus University
- Rutgers University
- Stanford University
- University of North Carolina at Chapel Hill
- Chalmers University of Technology
- University of Luxembourg
- THE UNIVERSITY OF HONG KONG
- Carnegie Mellon University
- Stony Brook University
- Technical University of Denmark
- University of South Carolina
- University of Texas at Arlington
- University of Washington
- University of Minnesota
- University of Oxford;
- Texas A&M University
- Aalborg University
- Brookhaven National Laboratory
- National Aeronautics and Space Administration (NASA)
- Singapore-MIT Alliance for Research and Technology
- University College Cork
- University of Oslo
- FAPESP - São Paulo Research Foundation
- Harvard University
- Loyola University
- The Ohio State University
- University of Kentucky
- University of Sydney
- KTH Royal Institute of Technology
- Purdue University
- SUNY Polytechnic Institute
- SciLifeLab
- University of Amsterdam (UvA)
- Villanova University
- Boise State University
- Inria, the French national research institute for the digital sciences
- Michigan State University
- Texas A&M AgriLife
- Umeå University
- University of Lund
- University of Nevada, Reno
- VIB
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Angelo State University
- Argonne National Laboratory
- Forschungszentrum Jülich
- Lehigh University
- Leibniz
- Lunds universitet
- Pennsylvania State University
- Princeton University
- The University of Iowa
- UNIVERSITY OF SYDNEY
- University of Idaho
- University of Maryland, Baltimore
- University of New Hampshire – Main Campus
- University of Oregon
- Utrecht University
- AALTO UNIVERSITY
- Aston University
- Delft University of Technology (TU Delft)
- Deutsches Elektronen-Synchrotron DESY
- ETH Zürich
- Eindhoven University of Technology (TU/e)
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- IMT Atlantique
- Imperial College London
- Indiana University
- Instituto Superior Técnico
- King Abdullah University of Science and Technology
- Lawrence Berkeley National Laboratory
- Linköping University
- Luxembourg Institute of Science and Technology
- Massachusetts Institute of Technology
- Plymouth University
- Queen Mary University of London;
- Radboud University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- SUNY University at Buffalo
- Saint Louis University
- Sveriges Lantbruksuniversitet
- Tilburg University
- Télécom Paris
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF VIENNA
- Umeå universitet
- University of Basel
- University of British Columbia
- 90 more »
- « less
-
Field
-
and machine learning to the selection of appropriate technologies. Disseminate findings through peer-reviewed publications, workshops, and conferences. Contribute to project management, reporting and
-
] Position Title: Position Type: Postdoctoral Position Location: Lemont, Illinois 60439, United States of America [map ] Subject Area: High Energy Physics / Machine Learning Appl Deadline: none (posted 2025
-
-performance computing resources suitable for large-scale machine-learning and foundation-model experiments. Your role We are seeking a highly motivated Postdoctoral Researcher to join the FNR AI-HPC 2025
-
in solid mechanics framework Experience in non-linear solid material response and fracture modeling Experience in machine-learning modeling for solid mechanics applications Experience in
-
. Demonstrated experience in either of the following areas (a) data science, (b) theoretical nuclear reaction models and/or (c) deep learning-based machine learning and applications of artificial intelligence
-
. An understanding of metabolite identification and quantification by LC-MS/MS, spectroscopic techniques is desirable. Experience or collaborative engagements involving machine learning / modelling is also viewed
-
also include trouble shooting capabilities. Desirable skills include working knowledge of Linux, FORTRAN, Python and C++; experience with machine learning, parallel computing and high-performance
-
system) in computer science or another relevant discipline. A proven scientific focus on Artificial Intelligence (AI) & Machine Learning (ML). Experience with data analysis using ML or AI methods
-
quantitative expertise in one or more of the following areas: human decision making; decision modeling; human-machine interaction; human perceptions of AI; large language models; data simulation; machine
-
for the captioned post. Duties and Responsibilities Develop and apply advanced artificial intelligence and machine learning models to real-world data (RWD). Create innovative tools and solutions to extract deeper