Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- CNRS
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- NEW YORK UNIVERSITY ABU DHABI
- Rutgers University
- Technical University of Munich
- FAPESP - São Paulo Research Foundation
- THE UNIVERSITY OF HONG KONG
- University of Luxembourg
- University of Oxford
- Argonne
- SUNY Polytechnic Institute
- Stony Brook University
- Technical University of Denmark
- Chalmers University of Technology
- ETH Zürich
- University of Oxford;
- University of Washington
- Université Grenoble Alpes
- Université Savoie Mont Blanc
- Aarhus University
- BCBL BASQUE CENTER ON COGNITION BRAIN AND LANGUAGE
- Baylor College of Medicine
- Biobizkaia Health Research Institute
- Boise State University
- Brookhaven National Laboratory
- Carnegie Mellon University
- Consejo Superior de Investigaciones Científicas
- Delft University of Technology (TU Delft)
- Duke University
- Ecole Normale Supérieure de Lyon
- Emory University
- Episteme
- Fred Hutchinson Cancer Center
- Graz University of Technology
- IMT Atlantique
- INSERM U1028
- Inria, the French national research institute for the digital sciences
- Istituto Italiano di Tecnologia
- Karolinska Institutet (KI)
- King Abdullah University of Science and Technology
- Leibniz
- Leiden University
- Los Alamos National Laboratory
- Max Planck Institute for Chemistry, Mainz
- Max Planck Institute of Animal Behavior, Radolfzell / Konstanz
- New York University in Abu Dhabi
- New York University of Abu Dhabi
- Norwegian Meteorological Institute
- Oak Ridge National Laboratory
- Pennsylvania State University
- Princeton University
- Purdue University
- RIKEN
- Radboud University
- Radboud University Medical Center (Radboudumc)
- Ryerson University
- Sandia National Laboratories
- Stanford University
- Texas A&M University
- The University of Edinburgh;
- Télécom Paris
- UNIVERSITE ANGERS
- UNIVERSITY OF HELSINKI
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- Universite de Montpellier
- University of Amsterdam (UvA)
- University of California Berkeley
- University of California, Merced
- University of Copenhagen
- University of Florida
- University of Glasgow
- University of Lund
- University of Miami
- University of Minnesota
- University of Southern Denmark
- University of Texas at Arlington
- University of Texas at Dallas
- Université catholique de Louvain
- Uppsala universitet
- 70 more »
- « less
-
Field
-
that methodological advances are developed with direct translational and scalability considerations. Responsabilities: Lead the development of hybrid foundation model-graph neural network architectures for gene
-
artificial intelligence and neural networks, with a particular focus on applying these numerical approaches to quantum many-body systems, such as correlated 2D materials, quantum Moire systems, frustrated
-
software. (0-35) Experience in the application of advanced machine learning techniques (e.g., graph neural networks, reinforcement learning, probabilistic models, or latent representations) to biomedical
-
do they also influence the early recognition of these symptoms by family members and the healthcare team? What links might these factors have with clinical, cognitive, or neural data? Finally, how do
-
processing (NLP), specific knowledge of machine learning techniques applied to the fields mentioned above (such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), transformers-type
-
, dynamical systems, statistical machine learning, and neural time-series data. The goal is to better understand principles and mechanisms underlying distributed brain network computations through the dual
-
computational imaging specialist – experience in quantitative image analysis, scattering modeling, signal processing, machine learning, or neural-network-based data interpretation. The project is closely
-
from control theory, machine learning, optimization, and network science, spanning diverse application domains such as energy systems, biomedical systems, neuroscience, and safety and security
-
methods, which could include but are not limited to: Kriging surrogate, Polynomial Chaos Expansion (PCE), and Physics-Informed Neural Networks (PINNs) Contribute to the strategic direction of research
-
imaging specialist – experience in quantitative image analysis, scattering modeling, signal processing, machine learning, or neural-network-based data interpretation. The project is closely connected