Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Employer
- CNRS
- Nanyang Technological University
- National University of Singapore
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Bergen
- University of Oslo
- Argonne
- EPFL
- Hanyang University
- Harvard University
- Heriot Watt University
- Inria, the French national research institute for the digital sciences
- Karolinska Institutet (KI)
- Pennsylvania State University
- The Hebrew University of Jerusalem
- UiT The Arctic University of Norway
- Umeå universitet stipendiemodul
- University of Lincoln
- University of Maryland, Baltimore
- University of New South Wales
- University of Sydney
- 11 more »
- « less
-
Field
-
remains a substantial gap between the theory and practical behavior of many widely used algorithms. This project, led by Dr. Zhang, aims to strengthen the theoretical foundation of relative smooth
-
objective is to create a new generation of algorithms for inference and decision-making by pushing the boundaries of the underlying computational techniques. SURE-AI researchers will drive a transformative
-
11 Jul 2026 Job Information Organisation/Company CNRS Department Laboratoire d'Informatique de l'Ecole Polytechnique Research Field Computer science Mathematics » Algorithms Researcher Profile First
-
international collaborators. The group's interests cover a wide range of areas including extremal and probabilistic combinatorics, combinatorial optimization, graph theory, game theory, algorithmics and geometry
-
objective is to create a new generation of algorithms for inference and decision-making by pushing the boundaries of the underlying computational techniques. SURE-AI researchers will drive a transformative
-
. • Expertise in Computer Vision, 3D Point Cloud processing, and Deep Learning frameworks. • Solid foundation in 3D geometry, visual SLAM, and generative AI methods applied to robotic manipulation. • Open
-
systems, using techniques from areas such as functional analysis, operator theory, ergodic theory, differential geometry, data science, and/or machine learning. Implement algorithms that efficiently analyse
-
reconstruction framework that uses the known geometry, composition, and layout regularity of semiconductor devices as prior information to detect deeply buried defects from the smallest possible number of X-ray
-
prior experience in large-scale calculations using CFD Strong skills in CFD for complex geometries, and parallel computing Development of advanced algorithms for problems involving very large mesh (tens
-
in one or more of the following areas: multi-view 3D reconstruction; computational geometry and 3D vision; plant or crop modelling; computer vision for robotics; multi-modal and multi-spectral sensing