Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Wageningen University & Research
- ARCNL
- Maastricht University (UM)
- Sanquin Blood Supply Foundation (Sanquin)
- University of Groningen
- Utrecht University
- DIFFER
- Leiden University
- University of Twente (UT)
- Amsterdam UMC, location VUmc
- KNAW
- University of Amsterdam (UvA)
- University of Twente
- 5 more »
- « less
-
Field
-
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
-
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
-
Challenge: Extreme water events threaten people and infrastructure Change: Understand impact dynamics with experiments and numerical simulations Impact: Optimize the design of resilient
-
on the ventilation process, which typically considers the use of window and mechanical air treatment based on average climate measurements. Airflow affects crop transpiration, growth, development, yield and quality
-
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
-
devices. To ensure optimal reliability of the adopted lithographic processes, two aspects are important: (i) the surface quality of the silicon wafers needs to meet stringent requirements and (ii
-
closely with process, PDK, and PIC design teams and contribute to Europe’s photonics ecosystem through involvement with PITC, JePPIX, and PIXEurope partners Photonic integrated circuits (PICs
-
Circulatory Support (MCS) experimental lab with real-world clinical analysis in patients with cardiogenic shock and cardiothoracic surgery. You will work at the frontline where engineering, physiology, and
-
suitable wireless link at any moment. In this PhD project, you will develop novel concepts for intelligent hybrid RF–OWC networks that optimize wireless service delivery in real time. Research topics include
-
Utrecht, CWI, Dutch municipalities, DSOs, and other societal/industry partners. The project brings together expertise in energy informatics, optimization, data science, social sciences, and governance