Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- European Space Agency
- University of Amsterdam (UvA)
- Eindhoven University of Technology (TU/e)
- Leiden University
- Radboud University
- University of Groningen
- Utrecht University
- University of Twente
- Delft University of Technology (TU Delft); yesterday published
- University of Amsterdam (UvA); Amsterdam
- University of Twente (UT)
- University of Twente (UT); Enschede
- Wageningen University and Research Center
- Eindhoven University of Technology (TU/e); Eindhoven
- Erasmus University Rotterdam
- Leiden University; 's-Gravenhage
- Wageningen University & Research
- Eindhoven University of Technology (TU/e); today published
- Leiden University; Leiden
- Maastricht University (UM)
- Maastricht University (UM); Maastricht
- NIOZ Royal Netherlands Institute for Sea Research
- Tilburg University
- Tilburg University; Tilburg
- University of Amsterdam (UvA); today published
- Utrecht University; Utrecht
- Vrije Universiteit Amsterdam (VU)
- Vrije Universiteit Amsterdam (VU); Amsterdam
- CWI
- Delft University of Technology (TU Delft); 26 Sep ’25 published
- Delft University of Technology (TU Delft); today published
- Erasmus University Rotterdam (EUR)
- Maastricht University (UM); yesterday published
- Max Planck Society; Munich
- The Netherlands Cancer Institute
- The Netherlands Cancer Institute; Amsterdam
- University Medical Center Utrecht (UMC Utrecht)
- University Medical Center Utrecht (UMC Utrecht); Utrecht
- University of Amsterdam (UvA); 26 Sep ’25 published
- University of Amsterdam (UvA); yesterday published
- University of Twente (UT); yesterday published
- Utrecht University; today published
- 34 more »
- « less
-
Field
-
crop breeding by design. You will build models, analyse new sequencing data and optimise strategies for combining multiple advantageous traits. Contribute to groundbreaking research shaping the future
-
Prognostics & Health Management for Future Aviation Batteries Job description This postdoctoral position is part of MODABAT – Modular, Scalable, and Technology-Open Design for Future Aviation
-
of Earth observation (EO) by embracing disruptive innovation and acting as a catalyst for disruptive/transformative innovation in the sector. Our vision is to become an “EO innovation hub” connecting EO with
-
prediction of BESS’s electric and thermal behaviours. Optimization of BESS design for high energy density, durability and safety. Validation of models by benchmarking with cell and system level measurements
-
to work on improving their generalizability and robustness by exploring different modelling techniques, evaluating the impact of design choices, and addressing common pitfalls in model interpretation with
-
batteries (solid-state) via a physics-informed data-driven approach. Accurate prediction of BESS’s electric and thermal behaviours. Optimization of BESS design for high energy density, durability and safety
-
data to design robust, efficient deep learning algorithms that maximize the information extracted from images and delivered to the robot. To be successful in this role, we are looking for candidates
-
strong background in inorganic chemistry and expertise in the synthetic design of metal-organic frameworks for applications in CO2 separation and storage. This is what you will do In this research project
-
accelerate the future of Earth observation (EO) by embracing disruptive innovation and acting as a catalyst for disruptive/transformative innovation in the sector. Our vision is to become an “EO innovation hub
-
storage, and how engineering designs (e.g., well controls) can be optimised to maximise hydrogen recovery given the different depletion states of the reservoirs. The ultimate aim is to develop a set of