Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Utrecht University
- European Space Agency
- Delft University of Technology (TU Delft)
- University of Amsterdam (UvA)
- Vrije Universiteit Amsterdam (VU)
- Eindhoven University of Technology (TU/e)
- University of Twente
- Wageningen University & Research
- Leiden University
- Erasmus University Rotterdam
- Maastricht University (UM)
- Radboud University
- KNAW
- Tilburg University
- University of Twente (UT)
- Radboud University Medical Center (Radboudumc)
- University Medical Center Utrecht (UMC Utrecht)
- Erasmus University Rotterdam (EUR)
- AMOLF
- Amsterdam UMC
- Erasmus MC (University Medical Center Rotterdam)
- NIOZ Royal Netherlands Institute for Sea Research
- Nature Careers
- University College Roosevelt
- Wetsus - European centre of excellence for sustainable water technology
- ;
- ARCNL
- Eindhoven University of Technology
- Evidencio
- Max Planck Institute for Psycholinguistics
- NLR
- SURF
- University Medical Centre Groningen (UMCG)
- University of Groningen
- 24 more »
- « less
-
Field
- Computer Science
- Economics
- Engineering
- Biology
- Medical Sciences
- Science
- Mathematics
- Chemistry
- Arts and Literature
- Environment
- Materials Science
- Social Sciences
- Business
- Humanities
- Linguistics
- Psychology
- Electrical Engineering
- Earth Sciences
- Physics
- Sports and Recreation
- Law
- Philosophy
- Education
- 13 more »
- « less
-
23 Mar 2026 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Biological sciences » Biological engineering Biological sciences » Biology Computer science » Modelling
-
team as a PhD candidate to work on beyond the state-of-the-art model distillation and robustness methods, enabling efficient, reliable inference for challenging real-world problems in the semiconductor
-
support ESA planetary protection function on its effort to modernise current approaches with the use of new statistical models to assess biological and chemical contamination risks. The Research Fellow in
-
learning algorithms. Personalizing user interactions by building models that adapt explanations to specific knowledge levels and interests of users, so that user modelling and formal reasoning transform
-
numerical simulation environments have been developed to predict the snow performance of newly developed tire prototypes, challenges remain in comparing and validating advanced numerical models, e.g., using
-
captured from UAVs. The research will address the design of AI models capable of combining heterogeneous sensor modalities, including RGB, thermal, LiDAR, acoustic arrays, GPR, and X-ray backscatter
-
research and teaching will use spatial data and modelling to explore alternative futures of land use at local, European and global scales. You will show policy makers and different stakeholder groups
-
—to macroscopic, population-level observables in rapidly evolving pathogens such as SARS-CoV-2 and influenza. Concretely, you will: formulate and analyze stochastic models of evolving populations using methods from
-
to the development and characterization of advanced human stem cell-derived models, including organoids and Forebrain Chimeroids, as well as the analysis of endogenous prenatal human tissue. In parallel, you will
-
work focuses on integrating high-frequency clinical data, advanced signal analysis, and data-driven modeling into predictive models and personalized treatment strategies. In doing so, you strengthen