Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); yesterday published
- Eindhoven University of Technology (TU/e)
- European Space Agency
- Leiden University
- Max Planck Institute (MPI) for Psycholinguistics
- Radboud University
- Tilburg University
- University of Groningen
- University of Twente (UT)
- Utrecht University
- Delft University of Technology (TU Delft); 16 Oct ’25 published
- Delft University of Technology (TU Delft); today published
- Eindhoven University of Technology (TU/e); Eindhoven
- Erasmus MC (University Medical Center Rotterdam)
- Leiden University; 's-Gravenhage
- Max Planck Institute for Psycholinguistics
- Max Planck Institute for Psycholinguistics; today published
- The Netherlands Cancer Institute
- The Netherlands Cancer Institute; Amsterdam
- University Medical Center Utrecht (UMC Utrecht)
- Wageningen University & Research
- Wageningen University and Research Center
- 14 more »
- « less
-
Field
-
sensors in composites. Strong mathematical background and experience with numerical methods for structural analysis. Proficiency in programming (e.g., MATLAB, Python). You have obtained your PhD degree in
-
avenues, with natural curiosity and a passion for new subjects and research areas; Experience with one or more general purpose programming languages, for example Python, and general purpose deep learning
-
languages, for example Python, and general purpose deep learning frameworks, such as Tensorflow or PyTorch; The interest and ability to share knowledge with other ESA organisational units. You should also
-
) for engineering systems and structures, as well as expertise in machine learning, stochastic modeling, and Bayesian statistics. Programming Skills: Proficiency in programming languages such as Python, C, or R
-
and conducting experiments. You preferably have experience in project management. You have experience with Praat (or Matlab/Python), and with using advanced statistical methods and writing code. You
-
, stochastic modeling, and Bayesian statistics. Programming Skills: Proficiency in programming languages such as Python, C, or R. Teamwork and Responsibility: Ability to work effectively within a project team
-
., heat and fluid flow, chemical reactions and fluid flow) related to low-carbon energy sources in the subsurface. Hands-on knowledge in Python programming. Experience in working with open-source reservoir
-
applying and developing deep learning models (e.g. CNNs, ViTs, or geometric deep learning) Proficiency in Python and PyTorch Motivation to work with interdisciplinary clinical partners A track record of
-
-carbon energy sources in the subsurface. Hands-on knowledge in Python programming. Experience in working with open-source reservoir simulation software, including adapting the software for specific
-
, partialdifferential equations, scientific computing, deep learning.•Solid programing skills. Knowledge of Python, Tensorflow/Pytorch, and Mathematica.•Fluent in spoken and written English. Good communication skills