Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- University Medical Center Utrecht (UMC Utrecht)
- University of Twente (UT)
- Maastricht University (UM)
- Radboud University
- Tilburg University
- Wageningen University & Research
- Erasmus MC (University Medical Center Rotterdam)
- Leiden University
- NIOZ Royal Netherlands Institute for Sea Research
- University of Amsterdam (UvA)
- Amsterdam UMC
- Princess Máxima Center for Pediatric Oncology
- Radboud University Medical Center (Radboudumc)
- University Medical Centre Groningen (UMCG)
- Utrecht University
- Vrije Universiteit Amsterdam (VU)
- 8 more »
- « less
-
Field
-
of Technology and one part-time professor. The group has three research tracks: freeform design, imaging optics and improved direct methods; for more details see https://martijna.win.tue.nl/Optics/ . The text
-
our research team in the field of mixed-signal IC design, focusing on the implementation of physics-based computing paradigm. The ideal candidate will have a strong background in circuit design and
-
our research team in the field of mixed-signal IC design, focusing on the implementation of sense to compute paradigm. The ideal candidate will have a strong background in circuit design and experience
-
, hybrid) to understand trade-offs in coordination, transport, and reuse performance under different scenarios. Develop a digital warehouse management system for reuse hubs: design and prototype a hub
-
particles, the birth of the universe or the functioning of the brain. You will be part of the Video & Image Sense (VIS) Lab (which is part of the Informatics Institute). The Informatics Institute is located
-
, and active participation in conferences. You will join multidisciplinary projects analysing and enhancing the current liver cancer imaging workflow, with opportunities to address other workflow
-
and scalable. Design and build a technology demonstrator prototype of clinical-testing grade. Collaborate with interdisciplinary teams, including clinicians, engineers, and machine learning (ML) and
-
carried out together with the industrial partner Motion Imager and international academic collaborators. Your main responsibilities include: Designing and building an experimental TVAM setup for simple and
-
MEA electrophysiology, live-cell imaging, and related techniques. You will study neuronal failure and recovery after metabolic stress in rodent and human iPSC-derived cultures, and evaluate potential
-
diaries to understand the user journey and establish how occurring sounds relate to nurses' contextual needs and workflows. Building on these insights, the candidate will co-create the platform prototype