Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- European Space Agency
- Wageningen University & Research
- University of Amsterdam (UvA)
- Delft University of Technology (TU Delft)
- University of Twente
- Utrecht University
- University of Twente (UT)
- Eindhoven University of Technology (TU/e)
- Erasmus University Rotterdam
- KNAW
- NIOZ Royal Netherlands Institute for Sea Research
- NLR
- Radboud University
- Tilburg University
- 4 more »
- « less
-
Field
-
the project. Examples of the approach can be found in Ecological Modelling 205: 196-208 and Ecological Indicators 79: 114-121. You will be part of the WP3 team consisting of Prof. Jan Hendriks, Dr Wilco Verberk
-
systems increasingly provide personalized recommendations in domains such as nutrition and lifestyle. However, many recommender and prediction systems rely heavily on opaque machine learning techniques
-
into the wave interaction and propagation processes. Modelling the propagation characteristics of optical communication systems with a focus on optical atmospheric turbulence and statistical prediction models
-
; predicting orbit-derived data; orbit determination and navigation analysis; planetary protection; space debris mitigation; analysing satellite constellations for various purposes; working on close-proximity
-
, health and environmental stimuli jointly determine how animals function, adapt and contribute to ecosystems. PhD: Development of AI Models for prediction of resilience and susceptibility infectious
-
, support decision-makers, and advance debris-flow modelling for future research. In this PhD, you will carry out field measurements and run numerical simulations to better understand and predict debris-flow
-
9 Mar 2026 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Computer science » 3 D modelling Engineering » Mechanical engineering Engineering » Simulation
-
breeding programs and to support the reduction of methane emissions; a strong interest in statistical models, genomic prediction, and quantitative genetics, preferably with experience with one of more
-
or intervention strategies are lacking, urging the need for new perspectives on pathogen control. Within this project these perspectives will be explored. To predict correlates of disease against these complex
-
. This in turn, will place a biologically important process into global carbon cycle models and thereby improve predictions of the consequences of ongoing CO2 emissions. YOUR ROLE Within this project, you