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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 15 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
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 15 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
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 15 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
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 1 month ago
preserved at ambient temperature provided it is protected from light and humidity. Goal The goal of the project is to develop an algorithm to allow robust retrieval of data in the context of DNA-based data
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algorithms will subsequently be developed, trained and tested to identify markers of reduced brain resilience during ageing. The project adopts an interdisciplinary approach at the interface of neuroscience
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on signals and complex systems. Gipsa-lab develops projects in the strategic fields of energy, the environment, communication, intelligent systems, life and health technologies, and language engineering
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
control applications. 2. Control Design nonlinear optimal control algorithms. Investigate advanced control strategies for compliant robotic manipulation. 3. Experimental Validation Validate the developed
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, the ability to analyze the full dataset collected by the experiment will be severely limited. The L2IT is a leader in developing new track reconstruction algorithms using geometric deep learning methods
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16 Jul 2026 Job Information Organisation/Company CNRS Department Laboratoire lorrain de recherche en informatique et ses applications Research Field Computer science Mathematics » Algorithms
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The main goal of this PhD is to develop advanced