Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- Delft University of Technology (TU Delft)
- Wageningen University & Research
- Eindhoven University of Technology (TU/e)
- Leiden University
- University of Groningen
- European Space Agency
- Radboud University Medical Center (Radboudumc)
- University of Amsterdam (UvA)
- University of Twente (UT)
- Utrecht University
- Vrije Universiteit Amsterdam (VU)
- Maastricht University (UM)
- University of Utrecht
- Amsterdam University of Applied Sciences (AUAS/HvA))
- Naturalis
- Radboud University
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Tilburg University
- Universiteit Leiden
- 9 more »
- « less
-
Field
-
packaging and e-waste, while Exergy will develop the digital-twin and machine-learning tools that make the process adaptive and scalable. The research effort will be directed towards the selective recovery in
-
topic of transport geography.More specifically, you will work on the topic of "inclusive, sustainable, and efficient accessibility: systematically evaluating and learning from 'smart' initiatives." What
-
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Hey machine learning enthusiast with a love for physics and
-
-quality datasets that are structured and annotated for simulation and machine learning. Develop Digital Twins and simulation pipelines for virtual validation and predictive performance assessment. Implement
-
author teams. Where to apply Website https://www.academictransfer.com/en/jobs/362534/post-doc-on-socially-transferre… Requirements Specific Requirements experience with modern imaging techniques such as MS
-
trial data. Where to apply Website https://www.academictransfer.com/en/jobs/362020/postdoctoral-researcher-in-prec… Requirements Specific Requirements Profile PhD in (bio)medical sciences, computational
-
are the same. You will have the opportunity to share your ideas, develop yourself professionally, and acquire new skills. Innovation and collaboration are at the heart of our work. You will be part of
-
you use them to organize, analyze, and present experimental results effectively. Ability to work in interdisciplinary research teams, and willingness to learn from others. Creative and critical problem
-
activities. Collaborate with academic partners, National Public Health Institutes, ministries of health, and other public health stakeholders. Where to apply Website https://www.academictransfer.com/en/jobs
-
, solvent-based recycling process for complex plastic waste streams such as multilayer packaging and e-waste, while Exergy will develop the digital-twin and machine-learning tools that make the process