Sort by
Refine Your Search
-
Listed
-
Employer
- University of Groningen
- European Space Agency
- Delft University of Technology (TU Delft)
- Utrecht University
- Delft University of Technology (TU Delft); Delft
- University of Twente
- Wageningen University and Research Center
- Eindhoven University of Technology (TU/e)
- Erasmus University Rotterdam
- Radboud University
- Radboud University Medical Center (Radboudumc)
- University of Twente (UT)
- Eindhoven University of Technology (TU/e); Eindhoven
- Maastricht University (UM)
- Maastricht University (UM); Maastricht
- NIOZ Royal Netherlands Institute for Sea Research
- Radboud University Medical Center (Radboudumc); Nijmegen
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- 9 more »
- « less
-
Field
-
) and cover a wide range of innovative topics, from the development and validation of novel methods, algorithms and EO products to innovative climate research; the development of improved climate data
-
difficult and the creation of more intelligent process control strategies and innovative methods of tracking reliability can be achieved with expert informed machine learning techniques, which offer more
-
techniques and metrics to assess system cyber posture and resilience throughout system development and operational lifecycles; Developing techniques for context-aware conciliation of software component
-
neurosymbolic AI to extract information from unstructured text. Use NLP methods for modelling narrative text. The focus on each of these tasks can vary based on the expertise of the applicant. The University
-
methods for eliciting and aggregating safety specifications and risk thresh-olds for AI systems, with a particular focus on mechanisms that provide axiomatic guarantees, are algorithmically tractable, and
-
-targeted properties. This includes development of polymerization methods, formulation of coatings and their testing. In additional to the academic advisor, the PD candidate will be in close collaboration
-
methods for eliciting and aggregating safety specifications and risk thresh-olds for AI systems, with a particular focus on mechanisms that provide axiomatic guarantees, are algorithmically tractable, and
-
. The focus of this project is the development of advanced electrochemical purification methods to recover lithium from industrial wastewater. In this project, the postdoctoral researcher will focus
-
assessment. You will be provided with access to various engineering and computation toolsets along with the high-performance computer. A good background in numerical methods and computational platforms is
-
systems, design concepts, lean development approaches, for example Agile, and working methods. Through its daily work, the Team acts as a pathfinder for the low-cost, green launch systems of the future