Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- DAAD
- Forschungszentrum Jülich
- Technical University of Munich
- University of Southern Denmark
- ;
- 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 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)
- 34 more »
- « less
-
Field
-
. Strong coding skills for programming neural networks, machine learning and machine learning software frameworks (e.g. PyTorch or Jax) is a must. The ability for creative and analytical thinking across
-
multimodal systems. The emphasis is on agentic approaches, where an LLM interacts with visual tools, which may themselves be neural networks. Central challenges include enabling LLMs to reason about visual
-
around us? At Maastricht University, you will investigate how individuals differ in predictive processing by combining behavioural and neural testing with computational modelling. Together with colleagues
-
on agentic approaches, where an LLM interacts with visual tools, which may themselves be neural networks. Central challenges include enabling LLMs to reason about visual structures, designing
-
), Deep Neural Networks. Probabilistic Machine Learning and Time-series Analysis. Industrial applications of AI (energy, process industry, automation). Software development experience in teams. Programming
-
The project will include two secondments (6 months each): Stuttgart University (USTUTT): formulation of n- and p-type hydrogels Linkopings Universitet (LiU): development of the neurohybrid network The work will
-
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
-
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