Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- European Space Agency
- University of Groningen
- Utrecht University
- CWI
- Leiden University
- University of Twente
- Erasmus University Rotterdam
- Radix Trading LLC
- Wageningen University and Research Center
- Radboud University
- Delft University of Technology (TU Delft)
- University of Twente (UT)
- Vrije Universiteit Amsterdam (VU)
- 3 more »
- « less
-
Field
-
well as stimulating the use of campaign data in new EO domains (such as big data analytics, artificial intelligence and machine learning); initiating and conducting in-house and external scientific studies to support
-
develop a simplified model focusing on the leader stage. You will: Analyze experimental data and microscopic simulations Identify relevant physical features and parameters Apply machine learning techniques
-
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
-
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
-
Advanced control, optimisation and estimation techniques Artificial intelligence and machine learning techniques for AOCS applications and engineering AOCS modelling, AOCS software, AOCS hardware and
-
/ ) excels in teaching and research in the fields of human behaviour, thinking, learning, and how people live together. We work on societal issues and problems that people experience in daily life. Central to
-
for this position will have the following qualifications/qualities An MSc degree in chemistry or a related field. Very strong academic performance. Experience in molecular machine learning. Experience with
-
-up; Perform the tests according to the test plan; Data analysis and reporting. In this project you will learn about space science instruments, space science detector technology, performance characterization
-
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