Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Groningen
- Leiden University
- Eindhoven University of Technology (TU/e); Eindhoven
- Maastricht University (UM)
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- CWI
- Delft University of Technology (TU Delft); Delft
- Leiden University; Leiden
- Maastricht University (UM); Maastricht
- Radboud University
- Radboud University Medical Center (Radboudumc)
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Erasmus University Rotterdam
- Radboud University; Nijmegen
- University of Groningen; Groningen
- University of Twente (UT)
- Erasmus MC (University Medical Center Rotterdam)
- KNAW
- Radboud University Medical Center (Radboudumc); Nijmegen
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Universiteit van Amsterdam
- University Medical Centre Groningen (UMCG)
- University of Groningen; 26 Sep ’25 published
- University of Twente
- University of Twente (UT); Enschede
- Utrecht University
- 18 more »
- « less
-
Field
-
are looking for a motivated PhD candidate to join the Physical Intelligence Lab at TU Delft and contribute to advancing model-based control of soft robots. The position is funded by the ERC Starting Grant
-
completed or near-completed MSc degree in Artificial Intelligence, Computational Linguistics, GeoInformatics, Geography, Geoscience, or a related field; experience with natural language processing (NLP
-
the following traits: Educational background: A master’s degree in computer science/artificial intelligence with a solid grounding in optical and spectroscopic instrumentation, such as hyperspectral, NIR, and
-
(or will soon complete) a Master’s degree in Cognitive Neuroscience, Biomedical Sciences, Artificial Intelligence, Computer Science, Bioengineering, Cognitive or Experimental Psychology, Neurophysiology
-
journalism’s recent past. Methodologically, the project employs a digital humanities approach, combining computational analyses of metajournalistic discourses with qualitative analyses of debates at critical
-
Master’s degree in Data Science, Artificial Intelligence, Computational Linguistics, Computer Science. Has excellent academic writing and oral skills in English. Has experience with large language models
-
journalism’s recent past. Methodologically, the project employs a digital humanities approach, combining computational analyses of metajournalistic discourses with qualitative analyses of debates at critical
-
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
-
-cognition-relationship and see yourself in the description below: Holds (or will soon complete) a Master’s degree in Cognitive Neuroscience, Biomedical Sciences, Artificial Intelligence, Computer
-
equivalent) in Computer Science, Data Science, Artificial Intelligence, Computational Social Science, or a closely related discipline. The ideal candidate has a strong interest in algorithms, machine learning