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
-
algorithms, and some knowledge of data science and machine learning (through coursework, self-learning, or personal projects). The selected student will work with Ph.D. and master's students to help develop
-
involving Prof. Dr. Michael Bader (TUM CIT, Hardware-aware algorithms for HPC) , Prof. Dr. Felix Dietrich (TUM CIT, Physics-enhanced Machine Learning) , and Prof. Dr. Hartwig Anzt (TUM CIT, Computational
-
Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
differential equations with mixed boundary conditions that often require specific integration schemes and root-finding algorithms to solve. This problem of computational cost makes it challenging 1) to analyse
-
, you will focus on developing mathematical models and numerical algorithms that systematically integrate uncertainties into the design process of optical systems. The goal is to enable novel design
-
error-correcting codes, establishing fundamental performance limits, and building practical decoding algorithms and architectures. Your research will sit at the interface between the classical and quantum
-
databases, information retrieval, data mining, or algorithms is expected. Excellent written and oral English language skills are required. The appointment is to be made in accordance with NTNUs guidelines
-
companies. The research will integrate techniques of numerical analysis and structure-preserving algorithms to generative modeling in AI. It will build upon the work done at IMF and SINTEF in this field. We
-
databases, information retrieval, data mining, or algorithms is expected. Excellent written and oral English language skills are required. The appointment is to be made in accordance with NTNUs guidelines
-
structure-preserving algorithms to generative modeling in AI. It will build upon the work done at IMF and SINTEF in this field. We will consider techniques like flow matching, and use ideas from optimal
-
: Transparency. As part of this doctoral project, you will develop novel knowledge representation techniques, algorithms for human-in-the-loop optimization, and interactive tools that combine graphical and natural