180 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions in Netherlands
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- European Space Agency
- Utrecht University
- Erasmus University Rotterdam
- University of Twente
- Radboud University
- KNAW
- Eindhoven University of Technology (TU/e)
- ;
- Maastricht University (UM)
- University of Amsterdam (UvA)
- Vrije Universiteit Amsterdam (VU)
- AMOLF
- Delft University of Technology (TU Delft)
- Leiden University
- Radix Trading LLC
- 5 more »
- « less
-
Field
-
on the optimisation of the data architecture to enable the efficient use of artificial intelligence and machine learning. Duties These positions combine EO domain knowledge (EO instruments, EO data, EO algorithms
-
bachelor’s and master’s degrees, Professional Learning & Development programmes, and interdisciplinary research themes – including Emerging Technologies & Societal Transformations, Resilience, Smart Industry
-
Learning & Development programmes, and interdisciplinary research themes – including Emerging Technologies & Societal Transformations, Resilience, Smart Industry, Learning, and Health – we empower students
-
Knowledge of EO space mission operations and operations planning Knowledge of specific characteristics of military and dual use space systems Behavioural competencies Education A master's degree in
-
Learning & Development programmes, and interdisciplinary research themes – including Emerging Technologies & Societal Transformations, Resilience, Smart Industry, Learning, and Health – we empower students
-
characteristics of military and dual use space systems Behavioural competencies Education A master's degree in engineering or a scientific discipline is required for this post. Additional requirements You should
-
full projects, followed by the analysis, interpretation and reporting of data and results. You will pro-actively promote proteomics services and acquire new collaborative projects. The projects will vary
-
You will join the “Professional Learning & Technology” (PLT) section of the Faculty of Behavioural, Management & Social Sciences. The PLT section specializes in research on professional learning in and
-
or hands-on hardware (including integration) experience Artificial Intelligence and Machine learning techniques for AOCS applications and engineering The motivation for supporting engineering laboratory
-
position at a business school or experience as a (commercial) recruiter, career counselor, and/or learning and development specialist Excellent communication skills in English (written and spoken) Confident