Sort by
Refine Your Search
-
Listed
-
Employer
- European Space Agency
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Erasmus University Rotterdam
- University of Twente (UT)
- Wageningen University & Research
- University of Twente
- Utrecht University
- Maastricht University (UM)
- University of Amsterdam (UvA)
- Vrije Universiteit Amsterdam (VU)
- Adver Online Group
- Erasmus University Rotterdam (EUR)
- IHE
- Leiden University
- 5 more »
- « less
-
Field
-
. Knowledge of machine learning and deep learning for image and time series analysis; experience with cloud or high performance computing environments is an asset. Ability to communicate results clearly in
-
of information on all the minerals found on the Moon, Mars and in meteorites, and the Machine Learning (ML) software that combines deep learning multi-class and multi-label classification algorithms
-
or Associate Professor who is excited to advance the field of Computer Vision and Deep Learning through excellent research, inspiring education, and meaningful collaboration. The Computer Vision Lab conducts
-
of high-quality GPR data collected at the University of Twente’s Utility Mapping Site (UMS), a unique test environment for utility mapping technologies. Current machine learning models and their training
-
Site (UMS), a unique test environment for utility mapping technologies. Current machine learning models and their training data are limited in size, comprehensiveness, and realism – resulting in partial
-
environment for utility mapping technologies. Current machine learning models and their training data are limited in size, comprehensiveness, and realism – resulting in partial automation with limited
-
Job related to staff position within a Research Infrastructure? No Offer Description Are you fascinated by the intersection of control theory and scientific machine learning? Join us in developing the
-
and/or the analysis and processing of sensor data, for example building and deploying sensing systems (wearable, ambient, RF, distributed), edge and on-device data processing and machine learning
-
closely with colleagues and students, you’ll apply mathematics to tackle societal challenges and bring new data-driven modelling, experiment, and computer-aided mathematics into education. We welcome
-
and students, you’ll apply mathematics to tackle societal challenges and bring new data-driven modelling, experiment, and computer-aided mathematics into education. We welcome applicants from all areas