Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- NEW YORK UNIVERSITY ABU DHABI
- CNRS
- University of Oxford
- Rutgers University
- Technical University of Munich
- Oak Ridge National Laboratory
- SUNY Polytechnic Institute
- Technical University of Denmark
- VIN UNIVERSITY
- Argonne
- Texas A&M University
- University of Luxembourg
- AALTO UNIVERSITY
- Duke University
- Karolinska Institutet (KI)
- Leibniz
- Pennsylvania State University
- Princeton University
- Stony Brook University
- University of Florida
- University of Oxford;
- ;
- Aalborg University
- Aarhus University
- BCBL BASQUE CENTER ON COGNITION BRAIN AND LANGUAGE
- Baylor College of Medicine
- Boise State University
- Brno University of Technology, Central European Institute of Technology
- Brookhaven National Laboratory
- Carnegie Mellon University
- Consejo Superior de Investigaciones Científicas
- DIFFER
- Delft University of Technology (TU Delft)
- ETH Zürich
- Ecole Normale Supérieure de Lyon
- Episteme
- European Space Agency
- FAPESP - São Paulo Research Foundation
- Ghent University
- ICN2
- Inria, the French national research institute for the digital sciences
- Institut d'Investigacio Biomedica de Bellvitge (IDIBELL)
- Instituto Politécnico de Bragança
- Istituto Italiano di Tecnologia
- KTH
- King Abdullah University of Science and Technology
- Los Alamos National Laboratory
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Max Planck Institute of Animal Behavior, Radolfzell / Konstanz
- National Aeronautics and Space Administration (NASA)
- New York University in Abu Dhabi
- New York University of Abu Dhabi
- Purdue University
- Queen Mary University of London;
- RIKEN
- Radboud University
- Scuola Normale Superiore
- Stanford University
- Télécom Paris
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF SYDNEY
- Umeå University
- University of Amsterdam (UvA)
- University of California Berkeley
- University of California, Merced
- University of Miami
- University of Minnesota
- University of Oregon
- University of Southern Denmark
- University of Split, Faculty of civil engineering, architecture and geodesy
- University of Sydney
- University of Texas at Arlington
- University of Texas at Dallas
- University of Twente (UT)
- Université Grenoble Alpes
- Université Savoie Mont Blanc
- Uppsala universitet
- Zintellect
- 69 more »
- « less
-
Field
-
, 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
-
and implement Bayesian graph neural networks and convolutional neural networks as surrogates for high-fidelity biomechanical models Quantify and propagate uncertainty, and develop strategies for model
-
classes and their roles in scientific applications, such as deep neural networks (DNNs), convolutional neural networks (CNNs), transformer models, and graph-based neural networks. Familiarity with software
-
groups, you will gain opportunities for international exchange and build a strong global research network that supports your long-term career development. Your mission We are recruiting a Postdoctoral
-
, information processing, mathematical models, neural networks, learning theory For additional details, refer to the lab’s webpage. Toyoizumi Lab https://toyoizumilab.riken.jp/ * details of the business RIKEN is
-
-on experience developing generative models Is highly proficient in PyTorch and/or JAX Has experience training large-scale neural networks on HPC or GPU clusters Has experience with representation learning and
-
perturbation models that combine foundation models (FMs) and graph neural networks (GNNs) to accelerate therapeutic target identification. GenePPS aims to overcome current limitations of perturbation modelling
-
research, all with the goal of improving human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and five
-
-on experience developing generative models Is highly proficient in PyTorch and/or JAX Has experience training large-scale neural networks on HPC or GPU clusters Has experience with representation learning and
-
novel machine learning models—including Physics-Informed Neural Networks (PINNs), variational autoencoders, and geometric deep learning—to fuse multimodal data from diverse experimental probes like Bragg