94 linked-data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" "U" 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
- Vrije Universiteit Amsterdam
- 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 (VU)
- 6 more »
- « less
-
Field
- Computer Science
- Earth Sciences
- Psychology
- Engineering
- Environment
- Social Sciences
- Materials Science
- Biology
- Physics
- Humanities
- Medical Sciences
- Education
- Science
- Chemistry
- Electrical Engineering
- Philosophy
- Law
- Business
- Economics
- Linguistics
- Statistics
- Arts and Literature
- Design
- Mathematics
- Sports and Recreation
- 15 more »
- « less
-
was closely linked to a particular model of media governance, with the public service broadcasting monopoly at its core. But in subsequent decades, debates about the role, organization, and regulation
-
longitudinal data on PhD recipients with complementary sources such as publication and patent data, and aims to enrich these with other sources on individual paths and preferences. The PhD candidate will
-
In this PhD position, you will develop integrated and innovative biodiversity monitoring and data analysis techniques to aid in the decision-making of businesses within the dairy sector for the benefit
-
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