Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Radboud University
- Utrecht University
- Wageningen University & Research
- European Space Agency
- University of Amsterdam (UvA)
- University of Twente
- University of Twente (UT)
- Amsterdam UMC
- Leiden University
- NIOZ Royal Netherlands Institute for Sea Research
- Tilburg University
- University Medical Center Utrecht (UMC Utrecht)
- ARCNL
- Maastricht University (UM)
- Radboud University Medical Center (Radboudumc)
- Delft University of Technology (TU Delft); Published yesterday
- Erasmus MC (University Medical Center Rotterdam)
- KNAW
- 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
-
patients with cardiogenic shock and cardiothoracic surgery. You will work at the frontline where engineering, physiology, and critical care converge to shape the future of life-saving therapy. PhD Position
-
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
-
for closed-loop VLA evaluation. This fully funded, four-year PhD position takes place at TU Delft and is carried out in close cooperation with researchers from Qualcomm, which funds the project. The research
-
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
-
PhD Position on Parameterized and Fine-Grained Complexity of NP-Hard Problems Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40
-
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
-
-mail applications cannot be accepted. Include the following information in your application: a letter of motivation, in which you describe why you wish to pursue this PhD position and what makes you the
-
discipline. Preference will be given to applications submitted by candidates within five years of receiving their PhD. A PhD in an engineering domain and solid knowledge of space systems are required for this position
-
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