Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- DAAD
- IMT Atlantique
- Technical University of Denmark
- Radboud University
- Technical University of Munich
- University of Groningen
- University of Twente
- ;
- CNRS
- Delft University of Technology (TU Delft)
- International PhD Programme (IPP) Mainz
- Nature Careers
- SciLifeLab
- ; University of East Anglia
- ; University of Exeter
- Chalmers University of Technology
- Eindhoven University of Technology (TU/e)
- Ghent University
- Heidelberg University
- Institute of Organic Chemistry and Biochemistry, Czech Academy of Sciences
- University of Luxembourg
- University of Twente (UT)
- Wageningen University & Research
- Wageningen University and Research Center
- ; Anglia Ruskin University
- ; Aston University
- ; City St George’s, University of London
- ; Loughborough University
- ; Max Planck Institute for Psycholinguistics
- ; The University of Manchester
- ; UCL
- ; University of Nottingham
- ; University of Plymouth
- ; University of Sheffield
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Amsterdam UMC
- Aston University
- Bruker Nano GmbH
- Cranfield University
- Curtin University
- Duke University
- EPFL
- ETH Zurich
- ETH Zürich
- Ecole Normale Supérieure
- Heidelberg University / Mannheim University of Applied Sciences
- IMDEA Networks Institute
- Inria, the French national research institute for the digital sciences
- Institut Pasteur
- Karolinska Institutet
- Leibniz
- Leiden University
- Linköping University
- Maastricht University (UM)
- Mines Paris - PSL, Centre PERSEE
- Monash University
- Murdoch University
- NTNU - Norwegian University of Science and Technology
- Newcastle University
- Norwegian University of Life Sciences (NMBU)
- Swinburne University of Technology
- The Belgian Nuclear Research Centre
- The Max Planck Institute for Neurobiology of Behavior – caesar •
- The University of Iowa
- UMASS Lowell
- Umeå University
- University of Antwerp
- University of Bergen
- University of Cyprus
- University of Göttingen •
- University of Nottingham
- University of Oldenburg
- University of Oslo
- University of Tübingen
- Uppsala universitet
- Vrije Universiteit Brussel
- Vrije Universiteit Brussel (VUB)
- 67 more »
- « less
-
Field
-
AI. Dive into cutting-edge research on spiking neural networks, event-based sensors, and asynchronous learning. Collaborate internationally, publish your work, and inspire future minds through teaching
-
systems (CDSSs), so that their use in the clinic can be subject to rigorous quality control and certification. In this position, you will work on exploring synergies between Bayesian networks and AutoML
-
vision, machine learning, deep learning and neural networks, as well as courses in python, GPU programming, mathematical modeling and statistics, or equivalent. We are looking for candidates with: A solid
-
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
-
simulations with deep learning neural networks and swarm robots, virtual reality experiments, animal communication research, and more. In a range of projects, we show that languages can effectively be seen as
-
, W., Teulière, C., Zeldenrust, F., Rao, R. P. N., Triesch, J., & Ororbia, A. (2024). Predictive Coding with Spiking Neural Networks: A Survey (arXiv:2409.05386). arXiv. https://doi.org/10.48550/arXiv
-
key regulators of inflammation and tissue remodeling in gut and skin diseases. • Apply and refine AI/ML methods, including deep learning, neural networks, and interpretable models (e.g., SHAP, BioMapAI
-
neural networks is highly debated at the moment in all areas of deep learning. In this project, you will work on a theoretical framework which will help to better understand these questions in the context
-
convolutional/neural networks Experience with explainable and interpretable AI (XAI) Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in Uppsala University’s rules
-
open-source tools and training modules for global utility adoption. The framework combines physics-informed graph-neural-networks (GNNs), diffusion model, and explainable reinforcement learning (XRL