Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Utrecht University
- European Space Agency
- Maastricht University (UM)
- Wageningen University & Research
- Leiden University
- University of Twente (UT)
- University of Amsterdam (UvA)
- University of Twente
- Tilburg University
- Vrije Universiteit Amsterdam (VU)
- Erasmus University Rotterdam
- University of Groningen
- University of Utrecht
- ARCNL
- Centrum Wiskunde en Informatica (CWI)
- Hotelschool The Hague
- Naturalis
- Radboud University Medical Center (Radboudumc)
- SRON
- AMOLF
- Erasmus MC (University Medical Center Rotterdam)
- KNAW
- The Open Universiteit (OU)
- Universiteit Leiden
- Zuyd University
- 17 more »
- « less
-
Field
-
; collaborating with municipalities, urban planners, designers, and residents in model co-creation and validation workshops; contributing to the development of an interactive, publicly accessible web interface (e.g
-
geoscience, energy systems, materials modelling, fluid dynamics, and other scientific and engineering domains where data-driven models must interact with physical knowledge. Such problems raise fundamental
-
will develop cutting-edge operations research models and methods to redesign agricultural supply chains that can withstand extreme climate events and shifting agroecological conditions. Hosted by
-
for entry into a PhD program. A background in machine learning, inverse problems, scientific computing, or related data-driven methods is highly desirable. You are curious about combining physical modeling
-
for the current climate is developed using hydraulic models. These scenarios describe the consequences of a flood in terms of flood depth, flood extend, economic damage and loss of life. These scenarios
-
: Engineering Hydrogen-Resistant Circular Steels (CIRHY)" which is a 6-year research and innovation project developing next-generation circular steels that can safely operate in hydrogen environments. By
-
? We are looking for a PhD candidate to develop AI methods that extend current sets of flood scenarios derived from physical and numerical models, incorporate climate change effects, and then use
-
antigens presented by MHC molecules. This curiosity-driven project develops cutting-edge AI technology for 3D TCR–pMHC modeling to improve neoantigen identification, TCR specificity prediction, and TCR
-
and disease development after infection with Phytophthora or Ralstonia . You will combine these phenotyping data with bacterial and fungal microbiome profiles to build predictive models of pathogen
-
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Integrated optics is currently experiencing unprecedented growth, driven