Sort by
Refine Your Search
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- University of Amsterdam (UvA)
- Eindhoven University of Technology (TU/e)
- Wageningen University & Research
- Maastricht University (UM)
- Radboud University
- Utrecht University
- KNAW
- Leiden University
- Radboud University Medical Center (Radboudumc)
- TU Delft
- Tilburg University
- University Medical Centre Groningen (UMCG)
- University of Twente
- 4 more »
- « less
-
Field
-
to research vehicles and advanced radar prototypes for collecting and evaluating real world multimodal sensor data. While the primary application domain is automotive, the developed methods should preferably be
-
Science & Artificial Intelligence Research Center at Tilburg University hosts the Secure Hardware Intelligence Extraction and Logic Deconstruction (SHIELD) research project, a scientific initiative focused
-
to the topic of the proposal (e.g., digital communication, artificial intelligence, developmental research, research on mis/disinformation); experience with quantitative research methods (e.g., (panel) survey
-
, or (Social) Psychology; experience with aspects related to the topic of the proposal (e.g., digital communication, artificial intelligence, developmental research, research on mis/disinformation); experience
-
grammatical resources into a digital network. The network will consist of lexical constructions (simple and complex words) and grammatical constructions (word-formation patterns), linked to one another by
-
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Shape intelligent control and coordination in future complex
-
, etc.) Experience collecting human experimental data (movement, video, or similar) Excellent written and oral communication skills in English The following aspects will help you stand out: Thriving in
-
into an independent scientist. You have a background in machine learning and artificial intelligence and like to build novel methods for the analysis of biological data. You are methodical, curious and able to take
-
that employ novel virtual reality and robot-based paradigms. We are also leveraging several analytical tools such as computational modelling and machine learning. As a Research Assistant, you will help collect
-
are changing rapidly. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what