Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft)
- Utrecht University
- Delft University of Technology (TU Delft); yesterday published
- Radboud University
- University Medical Center Utrecht (UMC Utrecht)
- Eindhoven University of Technology (TU/e)
- Maastricht University (UM)
- Tilburg University
- University of Amsterdam (UvA)
- Amsterdam UMC
- University of Groningen
- University of Twente (UT)
- Wageningen University & Research
- Delft University of Technology (TU Delft); today published
- Eindhoven University of Technology (TU/e); today published
- Eindhoven University of Technology (TU/e); yesterday published
- Erasmus MC (University Medical Center Rotterdam)
- KNAW
- Leiden University
- Radboud University Medical Center (Radboudumc); Published yesterday
- Utrecht University; Published yesterday
- Vrije Universiteit Amsterdam (VU)
- ARCNL
- Amsterdam UMC; today published
- Amsterdam UMC; yesterday published
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); 3 Oct ’25 published
- Delft University of Technology (TU Delft); Published yesterday
- Eindhoven University of Technology (TU/e); Published today
- Eindhoven University of Technology (TU/e); Published yesterday
- Elestor BV
- Erasmus MC (University Medical Center Rotterdam); yesterday published
- Erasmus University Rotterdam
- Leiden University Medical Center (LUMC)
- Leiden University Medical Center (LUMC); yesterday published
- Leiden University; yesterday published
- Maastricht University (UM); 3 Oct ’25 published
- Maastricht University (UM); Published today
- Maastricht University (UM); Published yesterday
- Maastricht University (UM); yesterday published
- Nature Careers
- Radboud University Medical Center (Radboudumc)
- Tilburg University; today published
- University Medical Center Utrecht (UMC Utrecht); Published yesterday
- University Medical Center Utrecht (UMC Utrecht); today published
- University Medical Centre Groningen (UMCG); today published
- University of Amsterdam (UvA); 10 Oct ’25 published
- University of Amsterdam (UvA); 26 Sep ’25 published
- University of Amsterdam (UvA); Published today
- University of Amsterdam (UvA); Published yesterday
- University of Amsterdam (UvA); yesterday published
- University of Twente
- Utrecht University; 3 Oct ’25 published
- Utrecht University; today published
- Wageningen University and Research Center
- 45 more »
- « less
-
Field
-
, proteomics and advanced imaging. This research project will be executed in close collaboration with the Princess Máxima Center. Radboudumc Welcome to Radboud university medical center (Radboudumc), where
-
integrates three innovation lines: multimodal biotype identification, combining structural MRI, functional MRI, diffusion imaging, symptom profiles and behavioral measures to define neurobiological OCD
-
. PhD Candidate Neuroimaging in Epilepsy Our goal: to leverage advanced Magnetic Resonance Imaging (MRI) techniques (including functional MRI to assess brain network metrics and MR spectroscopy to measure
-
processes. In this project, we will leverage the advanced voltage imaging in larval zebrafish to investigate how intrinsic plasticity reshapes neuronal behavior. Your job Traditional electrophysiological
-
representations. In this project, you will substantially improve quantitative magnetic resonance imaging (MRI) image quality using deep learning approaches. Quantitative MRI allows healthcare providers
-
imaging, X-ray tomography/radiography).
-
for deployment and operation on a real-world quantum network prototype, build by the Quantum Internet Alliance (QIA) collaboration. The successful candidate enjoys experimenting with different approaches, and is
-
project, you will: Investigate muscle physiology using advanced techniques such as MRI-DTI, ultrasound imaging, muscle stimulation, and electromyography (EMG). Perform anatomical dissections on human
-
performance programs. As a PhD candidate in this project, you will: Investigate muscle physiology using advanced techniques such as MRI-DTI, ultrasound imaging, muscle stimulation, and electromyography (EMG
-
geometry altogether and operate in hyperbolic space. Our lab has published multiple papers showing that hyperbolic deep learning has strong potential for computer vision, from hyperbolic image segmentation