Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Delft University of Technology (TU Delft)
- Radboud University
- Utrecht University
- Eindhoven University of Technology (TU/e)
- Wageningen University & Research
- University of Twente
- University of Amsterdam (UvA)
- European Space Agency
- University of Twente (UT)
- Amsterdam UMC
- Leiden University
- NIOZ Royal Netherlands Institute for Sea Research
- Tilburg University
- University Medical Center Utrecht (UMC Utrecht)
- ARCNL
- KNAW
- Radboud University Medical Center (Radboudumc)
- Delft University of Technology (TU Delft); Published yesterday
- Erasmus MC (University Medical Center Rotterdam)
- Maastricht University (UM)
- Princess Máxima Center for Pediatric Oncology
- University Medical Centre Groningen (UMCG)
- University of Amsterdam (UvA); Published yesterday
- Vrije Universiteit Amsterdam (VU)
- 14 more »
- « less
-
Field
-
cutting edge of medical physics, oncology, and imaging science, contributing directly to the future of pediatric care. Where to apply Website https://www.academictransfer.com/en/jobs/357579/phd-position-in
-
resources. In this particular PhD-position you will have the opportunity to develop, optimize and validate advanced MR metabolic imaging methods, for 3T and 7 Tesla MRI, that provide quantitative maps
-
project COALESCE we aim for new fundamental insights on this paradigm, especially in the context of Parameterized Complexity and Fine-grained complexity of NP-hard problems. As a PhD candidate in the
-
requirements should be implemented; design and propose architecture and operations concepts and propose recommendations on the most promising technologies that should be leveraged; prototype software
-
PhD: Upscaling pore-scale behaviour of clay-interfaces Faculty: Faculty of Geosciences Department: Department of Earth Sciences Hours per week: 36 to 40 Application deadline: 22 March 2026 Apply
-
the selection process. About the department The PhD candidate will work under the supervision of Dr. Marcello Carioni and will be part of the group “Mathematics of Imaging and Artificial Intelligence” (MIA
-
robotic platforms, integration of optical and imaging-based feedback, and development of modeling and control strategies for operation in complex biological environments. Particular attention will be given
-
passionate Postdoc (exceptional PhD candidates may also apply) to join our team and develop the next generation of intraoperative neurosurgical image guidance. Currently, neurosurgeons lack real-time
-
tissue with high spatial precision. This PhD project focuses on the development of surgical micro-robotic devices, with emphasis on micro- and nano-fabrication and optical technologies for sensing
-
security-oriented workflows. This includes designing methodologies that ensure traceability, robustness and bias mitigation in AI models, as well as creating prototype tools that demonstrate how transparent