Sort by
Refine Your Search
-
Listed
-
Employer
- European Space Agency
- Erasmus University Rotterdam
- AcademicTransfer
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Eindhoven University of Technology (TU/e); Eindhoven
- Erasmus University Rotterdam (EUR)
- Nature Careers
- Universiteit Maastricht (UM); yesterday published
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- University of Groningen
- Utrecht University
- Vrije Universiteit Amsterdam (VU)
- 5 more »
- « less
-
Field
-
, engineers and more; Improve machine learning skills in medical environments by working with real-world medical data; Gain experience in knowledge management. Behavioural competencies Education You must be a
-
data analytics, artificial intelligence and machine learning and statistical and analytical methods and tools Strong understanding of the entire product lifecycle, including the feedback loop
-
methodologies, such as additive manufacturing, for projects within the centre and for space exploration; Developing new ideas around medical technologies, for example, using machine learning techniques to support
-
also assist in evaluating the most suitable spectral identification methods for planetary materials using custom classification software based on Machine Learning techniques. Key tasks include collecting
-
to develop your professional experience and competencies, to learn from ESA experts and to contribute to ESA activities. Technical competencies Experience with artificial intelligence and machine learning
-
for systematic reviews, Mendeley for citation management and SPSS for data/statistical analysis/machine learning. Diversity, Equity and Inclusiveness ESA is an equal opportunity employer, committed to achieving
-
business card) Discount on membership of Erasmus Sport. Access to online learning platform GoodHabitz and wellbeing platform OpenUp. Regular fun work events and drinks. Participation in our collective
-
Do you want to play a crucial role in developing new applications for the next generation of computer technology? At CogniGron, a globally recognized research center of the University of Groningen
-
for a four-year assignment. During this time, you will be actively working and learning on the job and will benefit from valuable mobility and developmental opportunities that will prepare you for a
-
technologies, for example, using machine learning techniques to support long term exploration; Topics related to ‘off world living’, e.g. human factors, design and concept illustration; Crew Health and