79 linked-data "https:" "https:" "https:" "https:" "https:" "https:" "OSU" PhD positions in Netherlands
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Twente
- Utrecht University
- Radboud University
- European Space Agency
- Erasmus University Rotterdam
- Naturalis
- University of Amsterdam
- University of Groningen
- Eindhoven University of Technology (TU/e)
- Erasmus MC (Universitair Medisch Centrum Rotterdam)
- European Magnetism Association EMA
- Maastricht University (UM)
- Radboud University Medical Center (Radboudumc)
- University of Amsterdam (UvA)
- Vrije Universiteit Amsterdam
- 5 more »
- « less
-
Field
- Computer Science
- Earth Sciences
- Engineering
- Psychology
- Social Sciences
- Environment
- Materials Science
- Physics
- Biology
- Humanities
- Medical Sciences
- Science
- Chemistry
- Education
- Electrical Engineering
- Philosophy
- Business
- Economics
- Law
- Linguistics
- Statistics
- Arts and Literature
- Design
- Mathematics
- Sports and Recreation
- 15 more »
- « less
-
improve treatment outcomes for people with TB by combining clinical research, translational approaches, and secondary analyses of existing data. The candidate will have the opportunity to contribute to a
-
characterize subsurface structures, buried infrastructure, and material properties; · develop and apply AI and machine learning methods for signal processing, image analysis, data fusion, and prediction
-
comparative secondary analysis with original cross-national data collection. First, you will link data from the European Social Survey with MIPEX indicators to examine whether cross-national variation in
-
architectures to identify and track polysemous senses in historical corpora. applying the framework to English (COCA/COHA), Dutch (Delpher), and Spanish (RAE) data to automatically detect synonyms and measure
-
. More specifically, you will work on an open, explainable, and GeoAI-supported framework for the temporal integration of Earth system models with observational data from our spatially distributed
-
scale. Current global soil maps are derived using empirical machine learning that often ignores known soil processes, resulting in inconsistencies across soil properties and underperformance in data
-
will study how children select into contexts and how different contexts affect educational outcomes and inequality, using Dutch register data, quasi-experimental designs, and simulation methods. Your
-
, strong problem-solving and analytical skills. Able to do independent research and field data collection. Interested in cross-disciplinary research. Experience with at least one of the fields of
-
monitoring technologies based on a digital twin . The digital twin will combine information from the physical structure with models and monitoring data to assess its current structural state and predict its
-
: • conducting literature reviews and designing quantitative studies (experience sampling studies, in-lab interaction studies, surveys); • collecting, analyzing, and reporting data, leading to