Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NTNU Norwegian University of Science and Technology
- Eindhoven University of Technology (TU/e)
- KU LEUVEN
- University of Antwerp
- Inria, the French national research institute for the digital sciences
- Technical University of Munich
- CNRS
- Delft University of Technology (TU Delft)
- AALTO UNIVERSITY
- Centrum Wiskunde en Informatica (CWI)
- Forschungszentrum Jülich
- Leiden University
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- University of Amsterdam (UvA)
- University of Groningen
- University of Oslo
- University of Primorska
- Aalborg Universitet
- Amsterdam UMC, location VUmc
- Hanken School of Economics
- IMEC
- Istituto Italiano di Tecnologia
- NTNU - Norwegian University of Science and Technology
- Saarland University •
- Sanquin Blood Supply Foundation (Sanquin)
- Tilburg University
- UNIVERSITY OF HELSINKI
- University of Copenhagen
- University of Potsdam •
- University of South-Eastern Norway
- Utrecht University
- Wageningen University & Research
- 22 more »
- « less
-
Field
-
integrated with optimization algorithms to support faster, more robust, and more adaptive decision making. The project addresses research questions like: How can learning-based models be integrated with
-
different incentives, mechanisms and regulatory scenarios, evaluating their performance with respect to different objectives and their trade-offs. Developing decentralized and bi-level algorithms to help
-
user studies, develop novel algorithms, build immersive/augmented realities, and validate your solutions in real-world settings. This PhD is ideal for candidates interested in one or more of the
-
Systems Engineering (ICE-1), our focus is on developing models and algorithms for simulating and optimizing decentralized, integrated energy systems. These systems are characterized by the high spatial and
-
, extensive computing resources and close day-to-day supervision within the group. Tasks and responsibilities: include developing reconstruction algorithms for the muon bundles recorded by KM3NeT; extracting
-
simulations run on world-class supercomputing facilities alongside AI algorithms and data analytics tools, and share your results with experimental collaborators. The position is part of the Research Council
-
to next-generation 2D gas sensors. You will manage large-scale simulations run on world-class supercomputing facilities alongside AI algorithms and data analytics tools, and share your results with
-
, automated design-space exploration, and cross-technology benchmarking, providing new insights into the co-design of learning algorithms, memory technologies, and neuromorphic hardware architectures for future
-
work to segmentation algorithms with computer scientists. It is a preference if you additionally have experience in performing interdisciplinary research together with another scientific specialty
-
, focusing on the development of algorithms for proactive decision support in non-stationary warehouse environments. This project aims to study warehouse efficiency across interdependent processes – including