Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Delft University of Technology (TU Delft)
- European Space Agency
- Eindhoven University of Technology (TU/e)
- University of Twente
- Leiden University
- Utrecht University
- Wageningen University & Research
- Eindhoven University of Technology
- Erasmus University Rotterdam
- Radboud University
- University of Amsterdam (UvA)
- Maastricht University (UM)
- Tilburg University
- University of Twente (UT)
- Vrije Universiteit Amsterdam (VU)
- Zuyd University
- 6 more »
- « less
-
Field
-
-of-information metrics. Propose computational algorithms to estimate these metrics. Design and execute simulation studies to evaluate the above. Develop and test statistical software. Write user-friendly guidance
-
by developing a general mathematical theory of symmetries in BP and efficient algorithms for symmetry detection and exploitation. While the related field of mixed-integer programming (MIP) primarily
-
strategies (e.g., feature attribution, counterfactual explanations, dialogue-based explanations, hybrid symbolic–ML approaches); develop user-facing explanation interfaces that connect algorithmic reasoning
-
telecommunications networks and urban infrastructures Change: Developing data analysis and modelling methods to understand the interdependency Impact: Better design to enhance telecom and urban performance Job
-
into answering counterfactual questions. Using remote sensing multimodal time-series data and Earth foundation model embeddings, you will design and develop causal machine learning models tailored for dynamic
-
for expensive new dispatchable generation capacity, enable deeper renewable energy penetration, mitigate grid congestion, and reducing CO₂ emissions at national scale. In this PhD project, you will develop
-
, Directorate of Technology, Engineering and Quality. The Section covers the specification, design, development and verification/testing of: telecommunication payloads and subsystems, microwave and millimetre
-
missions in the domains of Earth observation, science, and resilience, navigation and connectivity. The Section carries out technological research and development, harmonisation and standardisation in
-
processing algorithms, build a Dash-based GUI, and develop standardized analysis pipelines. The role includes community-oriented tasks such as documentation, tutorials, and user support. The work requires
-
: Translate ML-based error-correction / DPD algorithms into hardware-friendly forms (model reduction, sparsity, quantization, fixed-point design). Design the architecture and RTL of a low-power accelerator that