Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Groningen
- Leiden University
- Wageningen University and Research Center
- Erasmus University Rotterdam
- University of Amsterdam (UvA); Amsterdam
- University of Twente
- CWI
- KNAW
- Leiden University; Leiden
- University of Amsterdam (UvA)
- Utrecht University
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- Delft University of Technology
- Delft University of Technology (TU Delft); Delft
- Maastricht University (UM)
- University of Groningen; Groningen
- University of Twente (UT); Enschede
- Utrecht University; Utrecht
- Wageningen University & Research; Wageningen
- Wetsus - European centre of excellence for sustainable water technology
- 11 more »
- « less
-
Field
-
of these attempts you will use eye-tracking and data donation. To analyze how different types of people cope with algorithmic persuasion on TikTok and how this relates to how they are affected you will make use of a
-
-organization of active particles. Fabricate and characterize light-driven microswimmers. Use advanced optical microscopy and particle tracking to analyze their motion and interactions. Investigate emergent
-
target population. Such “opportunistic” data pose significant challenges for making valid inferences about population-level environmental metrics such as soil properties, biomass stocks, or map accuracy
-
spread over the study area and fail to represent a substantial part of the target population. Such “opportunistic” data pose significant challenges for making valid inferences about population-level
-
advanced optical microscopy and particle tracking to analyze their motion and interactions. Investigate emergent behaviors such as swarming, clustering, and collective navigation in confined and complex
-
function differentiation, compositional Bayesian inference techniques); analyzing what is required (e.g., choice of data structures, static analyses and compiler optimizations, parallelism and concurrency
-
techniques (e.g., techniques for differentiating effectful programs such as gradient estimation of probabilistic programs, implicit function differentiation, compositional Bayesian inference techniques
-
for differentiating effectful programs such as gradient estimation of probabilistic programs, implicit function differentiation, compositional Bayesian inference techniques); analyzing what is required (e.g., choice
-
tools for tackling global wicked problems. Our purpose is to enable our many partners around the world to track and trace the impact – and the shifting causes and frontiers – of today’s global challenges
-
of surface-atmosphere interactions and limitations in current observational methods . Traditional remote sensing techniques are generally indirect, inferring evaporation from thermal imagery and reflectance