Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Utrecht University
- University of Amsterdam (UvA)
- Delft University of Technology (TU Delft)
- Leiden University
- University of Twente
- Wageningen University & Research
- Vrije Universiteit Amsterdam (VU)
- Eindhoven University of Technology (TU/e)
- Radboud University
- AMOLF
- Erasmus University Rotterdam
- European Space Agency
- Maastricht University (UM)
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- University of Twente (UT)
- Amsterdam UMC
- Tilburg University
- ARCNL
- Erasmus University Rotterdam (EUR)
- KNAW
- NIOZ Royal Netherlands Institute for Sea Research
- Radboud University Medical Center (Radboudumc)
- University Medical Center Utrecht (UMC Utrecht)
- 13 more »
- « less
-
Field
-
funded NWO-AES project “Genetic variance Estimation Now (GEN): Estimating current genetic variance components in populations under selection”. You will work closely together with a PhD candidate and
-
environment that encourages innovation, teamwork, and professional development. If you are motivated to apply advanced numerical methods to real-world structural challenges and contribute to the sustainable
-
together with industry partners such as Alliander and Stedin and made openly available to the broader AI and energy community. You will conduct research on advanced AI methods for short-term load forecasting
-
building supply chains that are resilient, sustainable, and regulation-ready. The project develops methods and decision-support tools that integrate resilience and compliance directly into supply chain
-
, combines cutting-edge datasets with multivariate methods, and delivers spatially explicit tools for the attribution of compound events and impacts which might be ground-breaking to support adaptation in
-
Employment 0.8 - 1.0 FTE Gross monthly salary € 3,546 - € 5,538 Required background PhD Organizational unit Faculty of Science Application deadline 28 June 2026 Apply now Are you eager
-
‑efficient to meet climate targets and address the economic challenges facing the sector. This postdoc position will develop circular design principles and methods in a project aiming to design an innovative
-
highly motivated and ambitious researcher, with a PhD in philosophy, science & technology studies, or a closely related discipline (with a demonstratable philosophical affinity), by the time of appointment
-
to the validation of an innovative hybrid satellite digital twin, the Titan Forge, which includes hardware and software components emulating the behaviour of the complete mission. This can speed-up the development
-
, spectroscopic and electrochemical methods) for real-time analysis of battery electrolyte streams; Design and validate data fusion strategies combining multiple sensor outputs into robust chemical information