141 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions in Netherlands
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- University of Amsterdam (UvA)
- Utrecht University
- Radboud University
- Vrije Universiteit Amsterdam (VU)
- University of Twente
- University of Groningen
- Eindhoven University of Technology (TU/e)
- Maastricht University (UM)
- Amsterdam UMC
- KNAW
- University of Twente (UT)
- Wageningen University & Research
- University Medical Center Utrecht (UMC Utrecht)
- ARCNL
- Centrum Wiskunde en Informatica (CWI)
- Erasmus University Rotterdam
- Fryske Akademy
- Hotelschool The Hague
- Naturalis
- Radboud University Medical Center (Radboudumc)
- Sanquin Blood Supply Foundation (Sanquin)
- The Open Universiteit (OU)
- Tilburg University
- University Medical Centre Groningen (UMCG)
- 15 more »
- « less
-
Field
-
techniques from mathematical modelling, machine learning, uncertainty quantification, distributed decision-making, or other data-driven approaches. Your duties and responsibilities in this 4-year project
-
skills. Fluent in English, both spoken and written. Willing to learn the Dutch language. TU Delft (Delft University of Technology) Working at TU Delft means contributing to solutions that really make a
-
independently. Good communication skills. Fluent in English, both spoken and written. Willing to learn the Dutch language. TU Delft (Delft University of Technology) Working at TU Delft means contributing
-
-Machine Interfaces (eHMIs) can enable safer and more inclusive interactions. You will: Develop a theoretical framework for identifying key characteristics of AV–VRU interactions and define design criteria
-
design and characterise reconstruction methods—both machine-learning-based and traditional—for the bundles of muons that reach the detectors, and apply them to data and simulations to constrain cosmic-ray
-
. Our community is open and informal, with more than 7,000 students, 1,000 PhD students, and 1,400 staff members from all over the world. If you would like to learn more about the Faculty of Science and
-
profiles. Identification of molecular signatures in platelet disorders and bleeding disorders of unknown cause (BDUC). Development of machine learning models for patient stratification. Integration
-
Are you fascinated by how curiosity shapes learning in the classroom? Would you like to investigate how children seek information, explore and learn in real-world educational settings? If so, then we
-
) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With ICT present in almost every device and product we use
-
research environment A self-motivated, proactive, and self-driven working attitude Curiosity-driven self-learning ability Written and oral communication skills in Dutch Keep in mind that this describes