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Field
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advanced planning and control algorithms, real-time and energy-efficient sensing, and distributed perception. Its research is applied across diverse sectors, including agriculture, manufacturing and remote
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, or distributed swarm algorithms would be advantageous. Experience Experience integrating sensing, localisation, navigation, communication, control, and decision-making components within a robotics or autonomous
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) Algorithms, Data Structures and Computational Thinking Mathematics for Computing and Data Science Database Systems and Big Data Technologies Software Engineering and System Architecture Cloud Computing and
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
://jobs.inria.fr/public/classic/en/offres/2026-10317 Requirements Skills/Qualifications Technical skills and level required : a strong understanding of distributed algorithms software design and development skills
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mobile base, an arm, a gripper, a learned policy, a safety module). Each agent runs its own specialized solver and is coordinated to a common, dynamically feasible plan through distributed optimization and
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, DMC). Development and implementation of Quantum Monte Carlo algorithms. Numerical simulation of many-body quantum systems. High-performance computing (HPC) and Linux environments. Scientific programming
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/cee. We are looking for a Research Associate to develop automated methods for mapping telecommunications fiber-optic cable routes using distributed acoustic sensing (DAS) and geospatial data. The role
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Overview We are seeking an experienced researcher to develop decentralised swarm mapping and localisation algorithms for underground pipe operations as part of an international research programme
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information science (GIS), with a particular focus on technically oriented courses such as geographic databases, Web GIS, GIS algorithms and data structures, geospatial artificial intelligence (GeoAI), and the
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of advanced Federated Learning algorithms. The research activity will be aimed at the study, implementation, and validation of distributed learning solutions. Where to apply Website https://pica.cineca.it/unina