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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 technology, HCI
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Solving. The project aims to develop human-centered explanations for constraint systems. While such explanations have been extensively explored from an algorithmic standpoint, especially when the constraint
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. ▪ Working closely with partners at TUD and theoretical researchers on algorithm development, performance analysis, implementation, and experimental validation. To be qualified for this position, you should
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learning, Efficient Algorithms and High Performance Computing), and Physics (Image Formation Modelling). Your project is part of the DUAL-IMPACT project, which focuses on the development of new data-driven
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Unit (UMR5574) under the supervision of Université Claude Bernard Lyon 1, ENS de Lyon, and CNRS. CRAL is a laboratory dedicated to fundamental research in astrophysics and the development of instruments
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algorithms. model and optimize end-to-end physical-layer performance, hardware non-idealities, and overall power consumption. focus primarily on space and security topics (satellite communications, reliable
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nanocrystals, hybrid perovskites and 2D materials. Development of new data-driven approaches for studies of optoelectronic properties using EM, including machine learning / machine vision algorithms. The balance
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: 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
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 2 months ago
(www.code-saturne.org ), EDF developed recognized expertise in neural-network-based learning for handling simple fluid flows with high accuracy [Meyer et al., 2021]. In 2022, an algorithm hybridizing POD
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-static beamforming methods, and semi-tomographic reconstruction algorithms that enable high-quality 3D visualization of the abdominal aorta. In addition, you will develop algorithms for segmentation