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part will be devoted to the study of the cyclability of materials: it will aim to establish links between the nature of precursors (notably from recycling), synthesis methods, physical properties and
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to real-world error patterns by means of learning methods. This requires a recognition of the diverse and complex error patterns that can occur in quantum devices in real-world scenarios. To achieve
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within the IROKO/INRIA team in Montpellier. The doctoral student's primary mission will be to **develop, adapt, and evaluate methods for estimating sample influence** within the specific context of Pl
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Microelectronics teams, the PhD student will be supervised and helped. He/She will access, after training, the IEMN technological platforms. He/She will be provided the tools and computer accesses necessary
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research in information and digital technologies (computer science, automation, robotics, artificial intelligence), with the aim of developing methods for representation, analysis, and control of complex
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one third of general anesthesia in the UK, estimated at 1.1 million intubation procedures per year. Although frequent, these acts are risky and the intubation procedure entirely depends on the operator
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the basic methods of observational cosmology. Experience in observational data analysis and computer programming skills are essential. This position is reserved for candidates with less than two years
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facilitate adoption of enhanced heat transfer methods into renewable energy and propulsion technologies. The insights and computational tools developed intend to significantly advance thermal engineering
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model. - Update the lake-wide distribution map of the mussel in terms of density, biomass, and biovolume. This map will serve as the basis for a theoretical estimate of whole-ecosystem filtration capacity
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years [1], we are in great need of alternative, energy-saving methods of calculation, so that the large-scale rise in AI does not lead to widespread disillusionment. In addition, embedded systems