Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Utrecht University
- Delft University of Technology (TU Delft); today published
- Delft University of Technology (TU Delft); yesterday published
- Eindhoven University of Technology (TU/e); yesterday published
- Maastricht University (UM)
- KNAW
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); yesterday published
- University of Twente
- Wageningen University & Research
- AMOLF
- Delft University of Technology (TU Delft); Published today
- Delft University of Technology (TU Delft); Published yesterday
- Eindhoven University of Technology (TU/e); Published today
- Erasmus University Rotterdam
- Leiden University
- Maastricht University (UM); 18 Oct ’25 published
- Tilburg University
- Universiteit van Amsterdam
- University of Amsterdam (UvA); 10 Oct ’25 published
- University of Amsterdam (UvA); today published
- Utrecht University; Published yesterday
- Wageningen University and Research Center
- 15 more »
- « less
-
Field
-
use molecular modelling to simulate the milk fat globules and plant lipid droplets and guide the experimental work. Your qualities We are looking for a highly motivated candidate with a background in
-
research revolves around the following key objectives: Finding analytic expressions for families of numerical Hamiltonians that model magnetic topological semimetals. Classifying such Hamiltonians in terms
-
expert knowledge in a reusable format. Numerical Representation, Develop numerical representations of ship designs that are interpretable by machine learning algorithms and suitable for generative ai model
-
to significantly reduce the turnaround time of SRS, thus enabling their use for industrial design processes. By combining state-of-the-art numerical methods and data-driven modelling techniques, the PhD candidate
-
fascinated by electromagnetic modeling and numerical problem solving? Do you want to contribute to the development of state-of-the-art metrology for integrated-circuit production? Information Integrated
-
, this PhD will explore machine-learning (ML) methods to significantly reduce the turnaround time of SRS, thus enabling their use for industrial design processes. By combining state-of-the-art numerical
-
expert knowledge in a reusable format. Numerical Representation, Develop numerical representations of ship designs that are interpretable by machine learning algorithms and suitable for generative ai model
-
analytical skills, a strong interest in numerical modeling, and good programming skills in Python is required. Eligibility criteria Fulfillment of eligibility criteria is dictated by the European Commission
-
interest in numerical modeling, and good programming skills in Python is required. Eligibility criteria Fulfillment of eligibility criteria is dictated by the European Commission under the Horizon MSCA
-
computational facilities. The powerful computational facilities enable us to develop advanced numerical models. The Department of Engineering Structures focuses on the development of resilient, smart and