Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft)
- European Space Agency
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); yesterday published
- Eindhoven University of Technology (TU/e)
- Eindhoven University of Technology (TU/e); Eindhoven
- Maastricht University (UM)
- University of Amsterdam (UvA)
- University of Groningen
- University of Twente
- University of Twente (UT)
- University of Twente (UT); Enschede
- Delft University of Technology (TU Delft); Published 11 Nov ’25
- Eindhoven University of Technology (TU/e); today published
- Leiden University
- Maastricht University (UM); Maastricht
- The Netherlands Cancer Institute
- The Netherlands Cancer Institute; Amsterdam
- University Medical Center Utrecht (UMC Utrecht)
- University of Amsterdam (UvA); Published 21 Nov ’25
- University of Amsterdam (UvA); today published
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- 13 more »
- « less
-
Field
-
22 Nov 2025 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Computer science » Informatics Computer science » Programming Engineering » Biomedical engineering
-
designing and benchmarking integration algorithms. The position is situated in the Intelligent Data Engineering Lab and will be supervised by Dr. Jan-Christoph Kalo and Prof. Paul Groth. What you will do
-
Are you passionate about mathematical control theory and its applications? Are you eager to develop estimation and control algorithms for large-scale dynamical systems with the aim of making next
-
Are you passionate about applying quantum computing to addressing real-world challenges? Join us to develop quantum optimization methods that support the transition to sustainable and resilient
-
classical computing algorithms are NP-hard or, in general, difficult to implement. Within your application, please provide a research proposal (no more than five pages) answering the following questions: What
-
work hands-on with clinical data and build robust deep learning algorithms. We welcome applications from individuals with experience in: Experience developing deep learning models for real-time image
-
data to design robust, efficient deep learning algorithms that maximize the information extracted from images and delivered to the robot. To be successful in this role, we are looking for candidates
-
construction, and a robust foundation in statistical spectral analysis, including familiarity with (or strong interest in) chemometrics and/or machine learning algorithms. Job requirements The Ideal Candidate
-
service quality. To address these challenges, advanced methodologies and algorithms are needed to design effective revenue and inventory management strategies for complex stochastic systems. The growing
-
used in power system operations under uncertainty in conjunction with classical high-performance computing. Interesting directions for this project include, but are not limited to: Quantum algorithms