Sort by
Refine Your Search
-
Listed
-
Employer
- University of Groningen
- Utrecht University
- Wageningen University and Research Center
- University of Twente
- Leiden University
- Erasmus University Rotterdam
- CWI
- Radboud University
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- KNAW
- Leiden University; Leiden
- Universiteit van Amsterdam
- Vrije Universiteit Amsterdam (VU)
- Delft University of Technology
- Eindhoven University of Technology (TU/e)
- Radboud University; Nijmegen
- University of Amsterdam
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- University of Groningen; Groningen
- University of Twente (UT)
- University of Twente (UT); Enschede
- VU Amsterdam
- 14 more »
- « less
-
Field
-
, Computer Science and Artificial Intelligence. The environment fosters truly interdisciplinary research with a great track record of national and international collaboration transferring knowledge across domains
-
++ programme “Break-through technologies in flow and fluid composition measurement”. It involves close cooperation with flow sensor companies and the TU Delft, where a post-doc will focus on the electronic
-
Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills. The TU Delft offers a customisable compensation package, discounts on health insurance, and a
-
, which has multiple test machines with GPUs and AI accelerators. The algorithms used can be bound by the available compute power or memory bandwidth in different parts of the program. This information will
-
large-scale neural models of the early visual system. Requirements The successful applicants will have: A solid computational background, an interest in cognitive neuroscience and strong deep learning
-
Computational Linguistics, Argumentation Theory, and Social Network Analysis to (1) investigate how climate misinformation contributes to political polarization and (2) assess whether AI-generated, argumentative
-
in the SPG. We will make use of models of different complexity up to complex Earth System models, and modelling efforts for different past periods. A personalised training programme will be set up
-
focused around four themes: Language and communication Perception, action and decision-making Development and lifelong plasticity Natural computing & neurotechnology Excellent, state-of-the-art research
-
of the natural sciences. Our teaching and research have a strong experimentally technical, computational and interdisciplinary nature. We work on new solutions guided by value-driven, interdisciplinary
-
of the Open Competition Domain Science-M programme (Twenty-one innovative research projects awarded through Open Competition Domain Science-M programme | NWO - https://www.nwo.nl/en/news/twenty-one-innovative