Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Wageningen University & Research
- Utrecht University
- Maastricht University (UM)
- University of Groningen
- European Space Agency
- Leiden University
- University of Amsterdam (UvA)
- ARCNL
- Sanquin Blood Supply Foundation (Sanquin)
- University of Twente (UT)
- Breda University of Applied Sciences
- DIFFER
- Erasmus University Rotterdam
- Radboud University Medical Center (Radboudumc)
- University Medical Center Utrecht (UMC Utrecht)
- University of Twente
- AMOLF
- Amsterdam UMC, location VUmc
- Erasmus MC (University Medical Center Rotterdam)
- Holomicrobiome Institute
- KNAW
- Prinses Máxima Centrum
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Universiteit Leiden
- 16 more »
- « less
-
Field
-
retrieve shapes, overlay errors, and other geometrical parameters of the target using methods ranging from local and global optimizers to priors and neural networks developed by partners in the project. Job
-
funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The drive towards improving
-
Challenge: Extreme water events threaten people and infrastructure Change: Understand impact dynamics with experiments and numerical simulations Impact: Optimize the design of resilient
-
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This position is part of the LiSa (Lithium refining via Salt-assisted
-
and prior knowledge of the sample geometry. You investigate and optimize the trade-off between accuracy and imaging speed. For real-time application, the speed and accuracy of the algorithms will be
-
to increase resource use efficiency. However, managing and optimizing these new cultivation systems requires crop models that can predict plant growth, crop yield and resource use under highly dynamic
-
. The state-of-the-art approaches in optimal climate control of greenhouses are based on implementing economic objective functions exploiting a time scale decomposition between short-term climate control/energy
-
process. This project offers a unique opportunity to work at the intersection of machine learning and control theory. You will develop rigorous theory and scalable computational methods for certifying
-
Research Agenda and the Brazilian research council CNPq . Within the project, you will closely collaborate with another PhD candidate at Utrecht University on spatial optimization of land use, as
-
Optimization of curb space allocation. Job description We are seeking a postdoctoral researcher to lead TU Delft's contribution to the Stritvaiz project, which transforms a former inner-city