Sort by
Refine Your Search
-
Country
-
Employer
- University of North Carolina at Chapel Hill
- Oak Ridge National Laboratory
- Macquarie University
- EPFL
- Northeastern University
- Stanford University
- Carnegie Mellon University
- Helmholtz Association of German Research Centres
- Baylor University
- Duke University
- Inria, the French national research institute for the digital sciences
- Singapore-MIT Alliance for Research and Technology
- Texas A&M AgriLife
- Texas A&M University
- University of Oxford
- University of Texas at Arlington
- Utrecht University
- Yale University
- Aalborg University
- Argonne
- Computer Vision Center
- Delft University of Technology (TU Delft)
- Empa
- European Space Agency
- Indiana University
- Institut Pasteur
- Istituto Italiano di Tecnologia
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Missouri University of Science and Technology
- SciLifeLab
- South Dakota Mines
- Technical University of Munich
- Texas A&m Engineering
- The Ohio State University
- The University of Arizona
- University of California
- University of Florida
- University of Illinois at Chicago
- University of London
- University of Minnesota
- University of Southern California
- Universität für Bodenkultur
- Washington University in St. Louis
- 34 more »
- « less
-
Field
-
Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
-tier machine learning and computer vision venues, actively participating in departmental seminars, and contributing to collaborative projects. Where to apply Website https://jobs.inria.fr/public/classic
-
Requisition Id 16723 Overview: We are seeking a Postdoctoral Research Associate with expertise in artificial intelligence (AI) and machine learning (ML) for multiscale physical systems
-
vision-language embodiments of such content). The research advances knowledge tracing under partial observability, curriculum and content sequencing, and learning from human feedback (instructor
-
Qualifications: A Master's degree and a PhD in Data Science, Mathematics, Computer Science, Physics, or in a related field In-depth knowledge in current methodology of AI (Deep Learning, generative AI, Explainable
-
Master's degree and a PhD in Data Science, Mathematics, Computer Science, Physics, or in a related field In-depth knowledge in current methodology of AI (Deep Learning, generative AI, Explainable AI, …) and
-
Missouri University of Science and Technology | Rolla, Missouri | United States | about 2 months ago
inquisitive nature with a deep knowledge of many components listed in this posting and a strong desire for continual learning and growth professionally. We invite candidates to submit an application if able
-
under deep uncertainty. This position sits at the intersection of energy systems modeling, open science, and policy analysis. The postdoctoral researcher will not only conduct high-impact, model-based
-
The Argonne team is seeking two highly motivated postdoctoral researchers to help shape the next generation of secure, scalable, and continuously learning AI systems for biomedical discovery
-
associate will work both independently and collaboratively to develop and apply novel deep learning algorithms and/or computational chemistry methods for small-molecule drug discovery targeting RNA
-
Area of research: Scientific / postdoctoral posts Job description: GFZ is Germany's national centre for solid Earth research. We advance the understanding of dynamic processes to address global