Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- European Space Agency
- Utrecht University
- University of Twente (UT)
- University of Amsterdam (UvA)
- Wageningen University & Research
- Leiden University
- University of Groningen
- University of Twente
- ARCNL
- Centrum Wiskunde en Informatica (CWI)
- KNAW
- Vrije Universiteit Amsterdam (VU)
- AMOLF
- Amsterdam UMC
- Erasmus MC (University Medical Center Rotterdam)
- Maastricht University (UM)
- Radboud University
- Radboud University Medical Center (Radboudumc)
- 10 more »
- « less
-
Field
-
technologies based on a digital twin. The digital twin will combine information from the physical structure with models and monitoring data to assess its current structural state and predict its remaining
-
ice, using a framework consisting of an ocean Large Eddy Simulation (LES) and a Discrete Element Model (DEM) of sea ice. Results from these simulations will be validated against a combination of in-situ
-
of the art in optical transceivers Understanding modeling of the optical modulators and simulation platform for simulation optical transceivers Develop high-bandwidth TX driver architectures for advanced
-
describe the performance of the welded interface. Implement the developed models in commercial FE simulation software for the development of a digital twin and validate their accuracy against experiments. We
-
measurements and/or Computational Fluid Dynamics (CFD) simulations. Specifically, you will assess where simplified assumptions in the model fall short. You will then train a machine learning model (such as PySR
-
models for bridging knowledge gaps, data scarcity and uncertainty gaps, and governance gaps related to monitoring the environment on which humans depend. A part of this is **spatial statistics of sensor
-
Research Infrastructure? No Offer Description Do you want to develop a foundation model for one of biology’s most complex ecosystems? By joining the European Innovation Council (EIC) Pathfinder project NOAH
-
Postdoc Position in AI Foundation Models for Crop Microbiomes Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application
-
into solid phases of marine snow. You will test the performance of your model by simulating experimental and field data in collaboration with the PHOSFLUX PhD student. Your qualities We are looking for a
-
the experimental development of the continuous crystallization process. The researcher will combine thermodynamic modelling, process simulation, and crystallization engineering to enable process