Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); yesterday published
- European Space Agency
- University of Groningen
- University of Amsterdam (UvA)
- Delft University of Technology (TU Delft); Delft
- Erasmus University Rotterdam
- University of Amsterdam (UvA); Published today
- University of Twente (UT)
- Delft University of Technology (TU Delft); 17 Oct ’25 published
- Delft University of Technology (TU Delft); today published
- Leiden University
- University of Amsterdam (UvA); Amsterdam
- Delft University of Technology (TU Delft); 16 Oct ’25 published
- Delft University of Technology (TU Delft); Published 11 Nov ’25
- Delft University of Technology (TU Delft); Published yesterday
- Eindhoven University of Technology (TU/e)
- Eindhoven University of Technology (TU/e); 4 Oct ’25 published
- Eindhoven University of Technology (TU/e); yesterday published
- Leiden University; Leiden
- Maastricht University (UM)
- Maastricht University (UM); Maastricht
- Maastricht University (UM); Published yesterday
- Universiteit Maastricht (UM); 27 Sep ’25 published
- University of Amsterdam (UvA); Published 21 Nov ’25
- University of Amsterdam (UvA); today published
- University of Groningen; Groningen
- University of Groningen; 26 Sep ’25 published
- University of Twente
- University of Twente (UT); Published today
- University of Twente (UT); today published
- Wageningen University & Research
- 22 more »
- « less
-
Field
-
scheduling to help make offshore wind farms a reality. Job description This post-doctoral position focuses on developing fundamental algorithmic advances for dynamic planning and scheduling in multi-objective
-
laboratory facilities. More specifically TEC-EF responsibilities encompass at subsystem and instrument level: Payloads with RF interface exploiting different technologies (e.g., analogue, digital, optical
-
of these two postdoc positions is to contribute to the modelling, simulation, and optimization across different LDES technologies, from device (ESS+inverter) to system level (grid integration) under different
-
behavioral component as it would be interesting to study how consumers perceive algorithmic discrimination of different kinds and how companies can mitigate negative perceptions. During their PhD
-
deployed and validated to demonstrate LDES market potential. The goal of this postdoc position is to contribute to the modelling, simulation, and optimisation across different LDES technologies, from device
-
. The goal of these two postdoc positions is to contribute to the modelling, simulation, and optimization across different LDES technologies, from device (ESS+inverter) to system level (grid integration) under
-
collaborate with software engineers, systems engineers, and operations specialists, and you will see your algorithms tested on realistic scenarios and data. Candidates interested are encouraged to visit the ESA
-
of AI for the integration of multimodal healthcare data specifically incorporating patient preferences. This includes investigating new methods but also designing and benchmarking integration algorithms
-
research is developing structured, LLM-readable document representations that enhance accuracy, facilitate automation, and improve interoperability across different model types used within the organization
-
designing and benchmarking integration algorithms. The position is situated in the Intelligent Data Engineering Lab and will be supervised by Dr. Jan-Christoph Kalo and Prof. Paul Groth. What you will do