Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Eindhoven University of Technology (TU/e)
- Delft University of Technology (TU Delft)
- Erasmus University Rotterdam
- Wageningen University & Research
- University of Twente
- Eindhoven University of Technology
- Erasmus MC (University Medical Center Rotterdam)
- KNAW
- Maastricht University (UM)
- NLR
- Nature Careers
- RiboPro B.V.
- Tilburg University
- University Medical Centre Groningen (UMCG)
- 4 more »
- « less
-
Field
-
staff position within a Research Infrastructure? No Offer Description Do you want to contribute to finding practical solutions for optimized nutrient adequacy, when shifting towards more plant-based diets
-
funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD position is one of 13 positions in the Marie Skłodowska-Curie Doctoral Network
-
‑level data and work with micro‑economic models to gain insight into the effects of policies and farm‑level decisions in agriculture. You will contribute to analyses within the National Monitoring Network
-
neutron scattering at TU Delft, supporting scientists and students worldwide. Job description As Instrument Scientist SANS (SANS ), you are responsible for the optimal use of the Small Angle Neutron
-
, sustainable multi-salt electrolyte formulations will be developed and optimized for compatibility with hard carbon anodes, with the aim of enabling safe operation, fast charging, and long cycle life. We offer
-
the local electricity system, while acquiring academic perspectives? Information This position is dual fold and has both a teaching and a research related aspect. Power networks are critical
-
Optimization group within the Delft Institute of Applied Mathematics at TU Delft is offering a full-time PhD position in the area of mathematical phylogenetics. Phylogenetic networks are directed acyclic graphs
-
networks also need to evolve, offering, e.g., ubiquitous connectivity and decentralised data-center capabilities to optimize urban performance. This project aims to explore how telecommunications networks
-
encompasses model compression and optimization for edge deployment on UAV-mounted processors to support real-time inference. The candidate will collaborate with industrial partners for real-world data
-
PhD candidate on Interprofessional Learning and Team Resilience through the Electronic Health Record
interprofessional care teams in making optimal use of available healthcare information for care optimisation. Your colleagues: You will be based at the Department of Educational Development and Research and the