Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- NTNU - Norwegian University of Science and Technology
- Eindhoven University of Technology (TU/e)
- NTNU Norwegian University of Science and Technology
- Delft University of Technology (TU Delft)
- Inria, the French national research institute for the digital sciences
- Forschungszentrum Jülich
- Technical University of Munich
- Wrocław University of Science and Technology
- Aalborg University
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Leiden University
- Queensland University of Technology
- Tilburg University
- University of Copenhagen
- Aarhus University
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Blekinge Institute of Technology
- CNRS
- Durham University
- Georgia Southern University
- Grenoble INP - Institute of Engineering
- Göteborgs universitet
- Hanken School of Economics
- Institute of Photonic Sciences
- Institutionen för Biologi och miljövetenskap
- KU LEUVEN
- LASE (University of Kent)
- Lulea University of Technology
- Max Planck Institutes
- Radboud University
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- The University of Manchester
- Umeå University
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- University of Amsterdam (UvA)
- University of Exeter
- University of Nottingham
- University of Southern California
- Università degli Studi Guglielmo Marconi
- Utrecht University
- 30 more »
- « less
-
Field
-
of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning
-
IT environment in Norway, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases
-
support. The PhD candidate will develop and validate a hybrid methodology that combines established stochastic optimization with AI-based learning. The aim is not only to develop new algorithms, but also to
-
learning paradigms. The framework will support rapid prototyping, automated design-space exploration, and cross-technology benchmarking, providing new insights into the co-design of learning algorithms
-
to protect sensitive information, trusted operations, and critical functionality. While cryptographic algorithms and software-level protections may be theoretically secure, their physical implementation can
-
use, and long-term crop management goals. While several algorithms have shown promising results in energy savings and crop yield, most of these methods have only been tested in simulation, and make use
-
sovereignty, and cyber-electromagnetic resilience. The PhD researcher will primarily work within Tilburg University’s AI research infrastructure, focusing on algorithm development, model training, and
-
scheduling algorithms for fast control and reconfiguration of the optical AI compute clusters. Realize a small-scale compute cluster lab testbed to demonstrate and evaluate the performance of the innovative
-
of service. The project is conducted in collaboration with two clusters at the Department of Mathematics and Computer Science of TU/e: Data and Artificial intelligence . Novel learning algorithms will
-
techniques, including KKT conditions or ADMM algorithms, would be appreciated • Interest in flexibility management, game theory, equilibrium problems, or multi-energy systems • Strong analytical, research, and