Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); yesterday published
- Eindhoven University of Technology (TU/e)
- University of Groningen
- University of Twente (UT)
- Erasmus MC (University Medical Center Rotterdam)
- University of Amsterdam (UvA)
- Wageningen University & Research
- Delft University of Technology (TU Delft); today published
- Eindhoven University of Technology (TU/e); Eindhoven
- KNAW
- Maastricht University (UM)
- Maastricht University (UM); Maastricht
- University of Amsterdam (UvA); Amsterdam
- University of Twente
- Wageningen University and Research Center
- ARCNL
- Amsterdam UMC
- Delft University of Technology (TU Delft); 3 Oct ’25 published
- Eindhoven University of Technology (TU/e); Published today
- Eindhoven University of Technology (TU/e); today published
- Eindhoven University of Technology (TU/e); yesterday published
- Elestor BV
- Erasmus MC (University Medical Center Rotterdam); yesterday published
- Erasmus University Rotterdam
- Leiden University
- Leiden University Medical Center (LUMC)
- Leiden University Medical Center (LUMC); yesterday published
- Maastricht University (UM); yesterday published
- Radboud University Medical Center (Radboudumc); Nijmegen
- Tilburg University
- University Medical Center Utrecht (UMC Utrecht)
- University Medical Centre Groningen (UMCG)
- University of Amsterdam (UvA); yesterday published
- Utrecht University
- Utrecht University; 3 Oct ’25 published
- Vrije Universiteit Amsterdam (VU)
- 28 more »
- « less
-
Field
-
(such as for longitudinal, genomics, imaging etc. data) using platforms like Snakemake, Nextflow. By combining prompt engineering, modular workflow synthesis, and open-source pipeline deployment, the project
-
of metal electrodeposition is largely lacking. Knowledge gaps remain on the exact mechanisms of conversion from solid oxides to metallic iron, as well as the exact physics and operation parameters
-
Job description You will design, manufacture, test and validate two smart material systems/demonstrators: (i) a catheter for invasive surgery with shape and property morphing and (ii) an assistive
-
imaging systems capable of penetrating fog, dust, and even certain solid materials. These systems will deliver detailed, high-resolution imaging in challenging conditions where conventional optical sensors
-
Biomechanical Engineering, biomedical engineering, technical medicine, or a related field. Strong interest in musculoskeletal modelling, human experimentation, and medical imaging. Solid programming skills (e.g
-
professional growth in the rapidly evolving field of electronic circuits and systems. Job requirements Essential Requirements: MSc degree in Electrical / Electronic / Computer Engineering, or a closely related
-
devices developed at Delft University of Technology and you will cleverly review and interpret the measurement data, such that you can propose novel autonomous data interpretation techniques. How to process
-
master’s degree in a relevant field (e.g., cognitive neuroscience, biomedical engineering, biological psychology) experience with programming (e.g., MATLAB, Python) hands-on experience with neuroscientific
-
motivated, you have a collaborative and persevering mindset and a keen interest in memory research. a master’s degree in a relevant field (e.g., cognitive neuroscience, biomedical engineering, biological
-
content is created. Whether it is text, images, or music, generative AI can often produce results that match or surpass results created by humans. However, when it comes to engineering design, and