Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- CNRS
- Rutgers University
- City University of Hong Kong
- Babes-Bolyai University
- Northeastern University
- KU LEUVEN
- NEW YORK UNIVERSITY ABU DHABI
- University College Cork
- European Space Agency
- Nanyang Technological University
- New York University
- THE HONG KONG POLYTECHNIC UNIVERSITY
- The University of Chicago
- University of Oslo
- University of South Carolina
- Aarhus University
- Fraunhofer-Gesellschaft
- Inria, the French national research institute for the digital sciences
- National Institute of Information and Communications Technology
- Princeton University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- SUNY University at Buffalo
- SciLifeLab
- Stanford University
- Technical University of Munich
- University of Glasgow
- University of Minnesota
- University of Sheffield
- Virginia Tech
- AALTO UNIVERSITY
- Aalborg University
- Boise State University
- Chalmers University of Technology
- Delft University of Technology (TU Delft)
- Duke University
- HHMI
- Institut Pasteur
- International PhD Programme (IPP) Mainz
- Istituto Italiano di Tecnologia
- King Abdullah University of Science and Technology
- Maastricht University (UM)
- Military University of Technology - Wojskowa Akademia Techniczna
- Monash University
- NIST
- NTNU Norwegian University of Science and Technology
- The University of Arizona
- University of A Coruña
- University of Florida
- University of Massachusetts Boston
- University of Nottingham
- University of Pennsylvania
- University of Southern California
- University of Washington
- Yale University
- Zintellect
- 3IA Côte d'Azur
- ;
- AGH University of Krakow
- Aix-Marseille Université
- Alma Mater Studiorum - Universita' di Bologna
- Amgen Scholars Program
- Amsterdam UMC
- Aveiro University
- BCBL BASQUE CENTER ON COGNITION BRAIN AND LANGUAGE
- Boğaziçi University
- Brandenburgische Technische Universität Cottbus
- CNR-Istituto di Nanotecnologia di Lecce
- CNRS IEMN
- Carnegie Mellon University
- Carnegie Mellon University Neuroscience Institute
- Cedars-Sinai Medical Center
- Chiba University
- Cornell University
- Czech Technical University in Prague
- Dalhousie University
- Duke University - Biochemistry & Cell Biology
- ECE - Paris - Ecole d'ingénieurs
- EPFL
- ETH Zürich
- Eli Lilly and Company
- FAPESP - São Paulo Research Foundation
- FIDAMC
- Forschungszentrum Jülich
- Fundación IMDEA Nanociencia
- George Mason University
- George Washington University
- Georgetown University
- Ghent University
- Goethe University Frankfurt
- Harvard University
- IMT Atlantique
- INSERM
- Institut de Recherche pour le Développement (IRD)
- Institute of Photonic Sciences
- Instituto Superior Técnico
- Johannes Gutenberg University Mainz
- Johannes Kepler University
- Johns Hopkins University
- King's College London
- Lunds universitet
- 90 more »
- « less
-
Field
-
Duke University - Biochemistry & Cell Biology | Durham, North Carolina | United States | about 2 months ago
positions in deep neural networks for biology. Successful candidates will have a strong interest in developing, interpreting, and applying new AI algorithms and models, motivated by biological research in
-
on theoretical and computational aspects of quantum many-body systems, including Tensor Networks, Neural Quantum States, Stabilizer formalism, Complexity measures such as entanglement and quantum magic, quantum
-
higher education credits (ECTS). Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural networks, as well as courses in Python, GPU programming
-
Yale University School of Medicine - Department of Neuroscience | New Haven, Connecticut | United States | 12 days ago
intelligence and machine learning are changing all aspects of neuroscience from analysis of neural activity to network modeling to imaging to bioinformatics to molecular modeling. We are enthusiastic about
-
apply machine learning and deep learning models (e.g., graph neural networks, generative models, transfer learning) for materials property prediction, interpretation, and inverse design. Perform high
-
on neural networks whose parameters are trained on simulations (SBI — Simulation-Based Inference). The recruited person will work within the ZTF, LSST/DESC and Lazuli collaborations to implement cosmological
-
Ref. 4364_All. 3 - Methods and Tools for Secure and Autonomous Brain-Inspired Cyber-Physical Systems
. The neuromorphic component will address the design, optimization and deployment of Spiking Neural Networks (SNNs) and event-based algorithms on embedded processors and specialized accelerators, including data from
-
-learning architectures for sequential data (e.g., Transformers, graph neural networks, state-space models). Experience with OpenCV, GPU-accelerated inference, Docker, and modern software engineering
-
MINDLAB stands for “Manipulating and Investigating Neural Dynamics for Learning and Ageing in the Brain” and is an interdisciplinary creative playground rooted squarely in academic rigor, comprising
-
. The position in Heilbronn is already filled. This job description is for a position in Garching . Here, you will develop general-purpose, scalable linear solvers for training neural networks that represent