Sort by
Refine Your Search
-
Listed
-
Employer
- Utrecht University
- CWI
- Radboud University
- Leiden University
- Wageningen University and Research Center
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Eindhoven University of Technology (TU/e)
- KNAW
- University of Twente
- Erasmus University Rotterdam
- Leiden University; Leiden
- Universiteit van Amsterdam
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- University of Groningen
- 6 more »
- « less
-
Field
-
its processing capabilities but also its adaptability, leveraging early developmental data and ecological validity. Infant data will be acquired in collaboration with Dr. Tessa Dekker (University
-
will analyse data to establish links between in-vitro and in-vivo digestive behavior, metabolic and appetite responses of different ingredients; you will use the knowledge gained to better characterize
-
. For more information, please visit Working at Utrecht University external link . About us A better future for everyone. This ambition motivates our scientists in executing their leading research and
-
)national network of collaborators, while working in an ambitious, motivated, multi-disciplinary team of veterinarians, clinicians, material scientists, biologists, and engineers. These technologies
-
! Scientists have speculated about the inherent potential of molecular systems for information processing since the dawn of computer science. However, the digital computing paradigm is inherently ill-suited
-
benefits through our Terms of Employment Options Model. In this way, we encourage our employees to continue to invest in their growth. For more information, please visit Working at Utrecht University
-
information on the gas properties and, therefore, on the composition of the gas. Important drawbacks of mechanical sensors are the fragility of the sensitive mechanical structures and susceptibility
-
, where excellence, fun, and diversity go hand in hand. We offer a clear and inviting career path to young and talented scientists with the ambition to grow. For more information about LIACS, see https
-
scientific programming and numerical / statistical analysis of simulated and observed data. Candidates should be able to demonstrate motivation and a strong eagerness to learn, and have the ability to both
-
in their growth. For more information, please visit Working at Utrecht University external link . About us A better future for everyone. This ambition motivates our scientists in executing