Sort by
Refine Your Search
-
Listed
-
Employer
- European Space Agency
- Eindhoven University of Technology (TU/e)
- University of Twente (UT)
- Delft University of Technology (TU Delft)
- Wageningen University & Research
- Erasmus University Rotterdam
- Erasmus University Rotterdam (EUR)
- IHE
- Leiden University
- Maastricht University (UM)
- University of Amsterdam (UvA)
- University of Twente
- Utrecht University
- Vrije Universiteit Amsterdam (VU)
- 4 more »
- « less
-
Field
-
sensing systems (wearable, ambient, RF, distributed), edge and on-device data processing and machine learning, resilient distributed architectures for sensing, sensor-data fusion and analytics
-
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
-
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
-
machine learning. You enjoy applying these modelling skills to analyse and explain interactions within environmental and ecological systems Able to handle and integrate multi-temporal and multi-spatial data
-
complexity into insight, while educating the next generation of data and AI experts at TU Delft. Job description The Computer Graphics and Visualization group at TU Delft has an opening for an Assistant
-
coordinated with the Finance, Planning and Controlling Department. You are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity/research for the traineeship As a Luxembourgish National
-
. 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
-
, [email protected]. See this https://www.stress-in-action.nl for more information about the Stress in Action project. Please send your application via the UT vacancies page before 25-10-2026 and include a
-
, which houses expertise in advanced data analysis techniques, merging the power and flexibility of machine learning and AI with the rigor and explainability of domain knowledge. Members of OnePlanet’s gas
-
data analysis with microeconomic behavioural modelling, econometrics, machine learning and natural language processing. We exploit longitudinal 2014-2021 data of 1 million social houses and households