Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- NTNU - Norwegian University of Science and Technology
- Eindhoven University of Technology (TU/e)
- Delft University of Technology (TU Delft)
- NTNU Norwegian University of Science and Technology
- Inria, the French national research institute for the digital sciences
- Technical University of Munich
- Wrocław University of Science and Technology
- Queensland University of Technology
- Aalborg University
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Blekinge Institute of Technology
- Grenoble INP - Institute of Engineering
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Institute of Photonic Sciences
- Lulea University of Technology
- Max Planck Institutes
- Umeå University
- University of Amsterdam (UvA)
- 8 more »
- « less
-
Field
-
Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 4 hours ago
binary code, so to obtain the memory location of data an code 3) develop a novel algorithm for memory placement. For a better knowledge of the proposed research subject : Scientific references
-
Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 4 hours ago
for the identification and detection of mobile devices based on their signal emissions. An initial framework has already been developed by the team, and both the source code and datasets are openly accessible
-
Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 4 hours ago
computations and developing efficient quantum error-correcting codes. Different approaches to implementing quantum computations are being pursued in parallel. The most widely-used approach is that of quantum
-
of probabilistic and extremal combinatorics, structural graph theory and algorithms. We study problems on discrete structures such as graphs, permutations, posets or set systems using probabilistic, structural and
-
imaging, and inverse problems. Your goal will not simply be to implement algorithms, but to turn cutting-edge imaging research into reliable, accessible and extensible software – and to develop new
-
pose estimation algorithms. The models and algorithms you develop will be part of open source and data repositories affiliated with the broader research program and TU Delft’s commitment to Open Science
-
. During the PhD, you will work on topics at the intersection of probabilistic and extremal combinatorics, structural graph theory and algorithms. We study problems on discrete structures such as graphs
-
the development of AI-powered smart care solutions. The position is at the Department of Computer Science, Electrical and Space Engineering, Division of Computer Science, at Luleå University of Technology (LTU
-
datasets, our research focuses on developing algorithms and computational methods to detect patterns and generate insights. BDA blends a wide range of expertises, including bioinformatics, data mining, data
-
develop algorithms for segmentation, motion tracking, elastography, and biomechanical analysis of aneurysms, with the goal of improving patient-specific rupture risk assessment beyond traditional diameter