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transport, supply chain and logistics modelling to contribute to the development and use of the MILES (Multimodal Integrated Logistics for Simulation) and MATRA (Multi-Agent Transport Resilience and
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 3 months ago
into the high-performance code hawen (https://ffaucher.gitlab.io/hawen-website/ ) with the support of the development team, enabling their application to real-world applications. The program will be divided
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validation of artificial intelligence models. Support in the acquisition and management of data collected by the group in a clinical or laboratory setting. Experimental evaluation of algorithms, development
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will be expected to develop a nationally recognized, externally funded research program that is collaborative, interdisciplinary, and self-sustaining. The program should address critical challenges
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distributions, characterize power under alternatives, and analyze automatic adaptation to intrinsic data structure. The algorithms developed will target scalability to large datasets via adaptivity without manual
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algorithms into UAV platforms. • Conduct field experiments and system validation for UAV swarm behaviors. • Prepare technical reports. Job Requirements: • Master in Electrical
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responsibilities will span all stages of research, including collecting data of in both tabular and spatial formats, developing algorithms that clean and organize data, conducting statistical analyses, running
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are: i) to develop a new selected CI algorithm allowing reaching chemically-accurate results for large compounds; ii) to extend the currently-available database to properties relevant for both core
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MRI appliance; Develop real-time system reconfiguration support using static and dynamic techniques leading to rapid conversion to the most optimal configuration for any specific patient-centric scan
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algorithms for the evolution of inorganic aerosols in the atmosphere, building upon the research group's efforts in modeling combustion-generated aerosols. These modeling framework will be used to understand