Sort by
Refine Your Search
-
Listed
-
Employer
- University of Groningen
- Wageningen University and Research Center
- CWI
- Eindhoven University of Technology (TU/e)
- Erasmus University Rotterdam
- Delft University of Technology (TU Delft)
- University of Twente
- Utrecht University
- Leiden University
- University of Twente (UT)
- Delft University of Technology (TU Delft); Delft
- Leiden University; Leiden
- Maastricht University (UM)
- Radboud University
- University of Amsterdam (UvA); Amsterdam
- University of Groningen; Groningen
- Delft University of Technology
- Eindhoven University of Technology (TU/e); Eindhoven
- KNAW
- Maastricht University (UM); Maastricht
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Tilburg University
- Universiteit van Amsterdam
- University of Amsterdam (UvA)
- VU Amsterdam
- 15 more »
- « less
-
Field
-
and neural networks for chemical property prediction. You will be part of the Big Chemistry consortium and will also be involved in training and teaching BSc and MSc students (10% of your working time
-
more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why
-
of communication. We have an activity committee that organizes after-work activities and an informal women’s network. CWI is located at Amsterdam Science Park, which is a major location for scientific research in
-
has joined forces with other top universities and networks worldwide to become a truly global centre of knowledge. Within the Faculty of Science and Engineering, a 4-year PhD position is available
-
; experience with colloidal synthesis; proven experience with optical and fluorescence microscopy techniques; excellent (spoken and written) communication skills in English; proactive in coming up with
-
also be part of the MBIC Graduate School, which provides additional training and networking opportunities. Predictive processing is increasingly recognized as a key computational principle of brain
-
for medical imaging, tailored for deep learning. The high-level goal of the project is simple: to use anatomical knowledge and existing knowledge as training data for deep neural networks (instead of manual
-
related field. Solid background in dynamical systems, modeling, and control. Some programming experience Strong analytical mindset and problem-solving attitude. Good communication skills and the ability
-
sense. The programme focuses on medical, defence and communication applications. One of the many activities in the POLARIS programme addresses research on GaN Microwave Monolithic Integrated Circuits
-
communication skills and the ability to work both independently and in a team. Proficiency in written and spoken English. Prior experience in soft robotics, machine learning for control, or experimental robotics