Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- University of Amsterdam (UvA)
- Utrecht University
- Eindhoven University of Technology (TU/e)
- Maastricht University (UM)
- Radboud University
- Wageningen University & Research
- University of Twente
- University of Twente (UT)
- Erasmus University Rotterdam
- Vrije Universiteit Amsterdam (VU)
- Leiden University
- Wetsus - European centre of excellence for sustainable water technology
- Radboud University Medical Center (Radboudumc)
- Tilburg University
- ;
- KNAW
- Delft University of Technology
- Erasmus MC (University Medical Center Rotterdam)
- Erasmus University Rotterdam (EUR)
- Evidencio
- HFML-FELIX
- NIOZ Royal Netherlands Institute for Sea Research
- NLR
- RiboPro B.V.
- 15 more »
- « less
-
Field
-
optimization methods for run-time network configuration and control. You will design efficient and lightweight learning-based techniques for automated scheduling, network resource allocation, and parameter
-
discipline Affinity with design aesthetics Experience with physical prototyping A critical attitude towards the role of smart home technology in everyday life Familiarity with the concept of sustainable design
-
how learning activities, assessment methods, and course design can reinforce each other and contribute to meaningful learning experiences. Part of your work will involve designing and testing new
-
learning experiences. Part of your work will involve designing and testing new educational interventions in collaboration with teaching staff. You will work in a multidisciplinary team environment, and
-
designing, developing, and characterizing advanced bioinks for cellular agriculture, contributing to both fundamental understanding and applied biofabrication technologies. Design and engineer hydrogel-based
-
transitions, public-sector collaboration, local social entrepreneurship, and community-driven innovation. Proven experience with qualitative research skills (e.g., interviews, case studies, participatory
-
this project, you will work with the team at M4i, Maastricht University to design, develop, and test the novel IR-MALDI-MSI source. Then, in the next phase, you will install and operate this source at HFML-FELIX
-
system measures) using Matlab, Python or similar software tools. You have affinity with, or experience in, virtual reality serious game design and user experience (UX) assessment. You have affinity with
-
(written and oral) are required. Previous experience in microscopy, nanophotonics, optical design or computational imaging is desired but not a must. Finally, the ability to independently and creatively work
-
generative AI systems for healthcare. The successful candidate will contribute to defining ethics-by-design and compliance-by-design frameworks that guide the development and deployment of such systems