Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Groningen
- University of Twente
- European Space Agency
- Utrecht University
- Delft University of Technology (TU Delft)
- Wageningen University and Research Center
- Erasmus University Rotterdam
- Leiden University
- CWI
- Eindhoven University of Technology (TU/e)
- Radboud University
- University of Twente (UT)
- Wageningen University & Research
- KNAW
- Universiteit van Amsterdam
- 5 more »
- « less
-
Field
-
Opens external at RSM offers a high-profile MSc in Finance & Investments, one of Europe’s largest master programmes in finance with 300+ new students every year. The programme delivers in-depth knowledge
-
, you will play a central role in developing and validating a novel control strategy for bionic limbs based on real-time ultrasound imaging. Your key responsibilities will include: Designing and
-
. Integrating HD-EMG decomposition algorithms with the CEINMS-RT musculoskeletal modeling framework to enable efficient real-time computation of joint kinetics. Developing and validating motor unit-driven
-
August 2025 Apply now Machine Learning models are increasingly important in the atmospheric sciences. After training, they can emulate model outcomes at a fraction of the computational cost of traditional
-
23 Aug 2025 Job Information Organisation/Company University of Twente (UT) Research Field Computer science » Programming Researcher Profile Recognised Researcher (R2) Country Netherlands Application
-
conventional, frame-based sensors in comparison to event-based sensors, which are more commonly associated with neuromorphic computing. This work will support mission design decisions regarding the suitability
-
Systems Engineering & Innovation Department, Directorate of Operations at the European Space Operations Centre (ESOC). The Section is responsible for driving cyber security research and development applied
-
across domains. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data
-
across domains. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data
-
systems, design concepts, lean development approaches, for example Agile, and working methods. Through its daily work, the Team acts as a pathfinder for the low-cost, green launch systems of the future