Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- NEW YORK UNIVERSITY ABU DHABI
- CNRS
- Rutgers University
- Technical University of Munich
- University of Oxford
- 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 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 Florida
- 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
- Université Grenoble Alpes
- Université Savoie Mont Blanc
- Uppsala universitet
- Zintellect
- 68 more »
- « less
-
Field
-
effects for drug discovery. The successful candidate will play a leading role in developing gene perturbation models that combine foundation models (FMs) and graph neural networks (GNNs) to accelerate
-
, doctoral students and undergraduates around a common goal: to understand the neurophysiological mechanisms and brain networks involved in neurological and psychiatric disorders (epilepsy, Parkinson's disease
-
Neural Injury Group and the Neuromusculoskeletal Health and Science Lab with responsibility for contributing to a multi-lab MRC-funded research project aiming to develop advance humanised pain models
-
analysing Cortically-Embedded Recurrent Neural Networks (CERNNs) that simulate large-scale neural dynamics during cognitive tasks. These models integrate species-specific neuroanatomical constraints to enable
-
epilepsies. They use a range of advanced genomic techniques including single-cell and spatial multiomic evaluation of epilepsy surgical tissue as well as iPSC-derived neural cultures and mouse models
-
research on memory and behavior is how the brain responds to environmental stimuli, and a major challenge here is the heterogeneity of cell-signaling pathways, brain cells and neural networks. We study
-
force fields (MLFFs) that combine state-of-the-art equivariant neural network architectures with robust, well-calibrated uncertainty estimates. These models will enable fully automated active learning in
-
fundamental questions about the transcriptional regulation of inhibitory neuronal development and function in neural circuits, the role of cerebellar circuit dysfunction, and disrupted gene regulatory networks
-
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
-
, 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