Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Delft University of Technology (TU Delft); Delft
- Leiden University
- University of Groningen
- CWI
- University of Twente
- University of Twente (UT)
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Radboud University
- Leiden University; Leiden
- University of Amsterdam (UvA); Amsterdam
- Utrecht University
- Wageningen University & Research
- Wageningen University and Research Center
- Eindhoven University of Technology (TU/e); Eindhoven
- Maastricht University (UM)
- Maastricht University (UM); Maastricht
- University of Amsterdam (UvA)
- Vrije Universiteit Amsterdam (VU)
- AMOLF
- Erasmus MC (University Medical Center Rotterdam)
- Erasmus MC (University Medical Center Rotterdam); Rotterdam
- Radix Trading LLC
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- University of Twente (UT); Enschede
- Utrecht University; Utrecht
- 16 more »
- « less
-
Field
-
Candidate Human-Centered Interpretable Machine Learning (1.0fte) Project description In recent years, practitioners and researchers have realized that predictions made by machine learning models should be
-
The Faculty of Science, Leiden Institute of Advanced Computer Science,is looking for a: PhD Candidate Human-Centered Interpretable Machine Learning (1.0fte) Project description In recent years
-
Apply now The Faculty of Science, Leiden Institute of Advanced Computer Science,is looking for a: PhD Candidate Human-Centered Interpretable Machine Learning (1.0fte) Project description In recent
-
on the monitoring and response parts, building on many earlier projects revolving around the use of UAV/drones, computer vision and machine learning, change and damage detection, and multi-data integration, such as
-
protocols, ITC will focus on the monitoring and response parts, building on many earlier projects revolving around the use of UAV/drones, computer vision and machine learning, change and damage detection, and
-
Vacancies PhD Candidate Infrastructure monitoring and NaTech disaster response with drones and machine learning Key takeaways The project is part of a large-scale research project funded through
-
Join us to explore the mechanics of soft matter through a unique blend of theory, hands-on experiments, and machine learning. Job description Soft matter such as polymers and hydrogels
-
project FoRECAST, you’ll work independently and in a collaborative, diverse team. This is a unique opportunity to contribute to the technological foundations for tomorrow’s machine learning. Your job In the
-
without neurons in physical systems, Ann Rev Cond Matt Phys14, 417 (2023) [4] Dillavou, Beyer, Stern, Liu, Miskin and Durian, Machine learning without a processor: Emergent learning in a nonlinear analog
-
Do you have a background in deep learning and computer vision? Are you independent, creative and eager to take initiatives? Do you enjoy working in an international research group and interacting