Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- DAAD
- Forschungszentrum Jülich
- Technical University of Munich
- University of Southern Denmark
- ;
- CNRS
- CWI
- Cranfield University
- Curtin University
- KINGS COLLEGE LONDON
- Maastricht University (UM)
- Nature Careers
- Radboud University
- University of Cambridge
- University of Groningen
- Vrije Universiteit Brussel
- ; University of Bristol
- Arts et Métiers Institute of Technology (ENSAM)
- Helmholtz-Zentrum Geesthacht
- Inria, the French national research institute for the digital sciences
- Institut Pasteur
- La Trobe University
- Maastricht University (UM); Maastricht
- Monash University
- SINTEF
- Simula Metropolitan Center for Digital Engineering
- Technical University of Denmark
- Technische Universität Berlin •
- The Max Planck Institute for Neurobiology of Behavior – caesar •
- UCT Prague
- Umeå University
- Umeå universitet
- University of Adelaide
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- University of Antwerp
- University of California Irvine
- University of Cambridge;
- University of Göttingen •
- University of Nottingham
- University of Nottingham;
- University of Twente
- University of Tübingen
- Université Paris-Saclay GS Mathématiques
- Université libre de Bruxelles (ULB)
- Vrije Universiteit Brussel (VUB)
- 36 more »
- « less
-
Field
-
AI architectures such as Transformers, large language models (LLMs), vision-language models, recurrent neural networks (RNNs), and related techniques. Mathematical maturity: A solid grasp of key
-
feedback control, you will uncover fundamental connections between physical dynamics and neural network representations. We seek a highly motivated PhD candidate with an excellent master’s degree in physics
-
for brain signal acquisition Implementing an on-chip neuromorphic processor with a spike encoder and spiking neural network Developing a low-power spike-based transmitter. Setting up measurement systems and
-
temporarily, as needed, when needed. The goal of this project is to advance the understanding of how working memory is implemented in the human brain. To this end, the main objective is to develop a neural
-
role of neural rhuthms for inter-area brain network communicartion PHD2: The neural code for multi-item representation in working memory PHD 3: The dynamic interplay between brain and bodily rhythms in
-
are recruiting three PhD students with distinct research foci: PHD 1: The functional role of neural rhuthms for inter-area brain network communicartion PHD2: The neural code for multi-item representation in
-
experiment. This PhD position is embedded in the EU Horizon Europe Marie Sklodowska-Curie Doctoral Network (MSCA DN) SMARTTEST project. This position is linked to Doctoral Candidate 8 – DC08. For more
-
and neural networks for chemical property prediction. You will be part of the Big Chemistry consortium and will also be involved in training and teaching BSc and MSc students (10% of your working time
-
knowledge of wireless communications, and signal processing. You have at least intermediary knowledge of machine learning algorithms, including federated learning, split learning, and graph neural networks
-
inductive biases, we aim to identify key mechanisms that drive rapid learning in the visual system. The goal is to create a robust mechanistic neural network model of the visual system that not only mimics