Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- European Space Agency
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- University of Twente
- University of Amsterdam (UvA)
- Utrecht University
- Erasmus University Rotterdam
- Leiden University
- University of Twente (UT)
- Eindhoven University of Technology
- Tilburg University
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- 3 more »
- « less
-
Field
-
, privacy, and resilience. Today’s Transformers models scale poorly and assume abundant cloud resources. The research program FIND aims to deliver architectural and algorithmic breakthroughs that enable
-
the device and for algorithm efficiency as compared to qubits. We will explore the use of tightly focused laser beams and their interaction with crystals of trapped ions to realize new ways to prepare and
-
estimation. Designing predictive control strategies that regulate muscle-tendon loading via wearable exoskeletons. Implementing and testing control algorithms in simulation and real-time settings. Where
-
of privacy-preserving artificial intelligence for the benefit of humanity. What You Will Do: Research (Federated Continual Learning): You will develop novel and privacy-preserving algorithms that allow
-
interaction and/or surface flux computation, including familiarity with bulk flux algorithms and observational QA/QC procedures. Experience with processing, analyzing, and interpreting multi sensor
-
An already acquired Phd in Electrical Engineering, Computer Science, Applied Mathematics, or a relevant field Affinity for formal and simulation models, as well as algorithmic solutions to problems
-
order to be successful, you bring: MSC in Computer Science, Physics, Engineering, mathematics or related disciplines with a strong background in data analysis, mathematical modeling and algorithms Good
-
Mathematics (Inverse Problems), Computer Science (Machine Learning, Computer Vision, Efficient Algorithms and High-Performance Computing), and Physics (Image Formation Modelling). Your project is part of
-
Mathematics (Inverse Problems), Computer Science (Machine learning, Efficient Algorithms and High-Performance Computing), and Physics (Image Formation Modelling). Your project is part of the NXTGen High-tech
-
algorithmic breakthroughs that enable foundation models to run predictably and efficiently on embedded processors and accelerators. FIND is a research program funded by the Dutch government and industry