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, algorithms, software development). Norwegian language skills at level B2. New employees who do not speak a Scandinavian language by appointment is required, within three years, to demonstrate skills in
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groups, as a basis for policy making? Are you interested in spatial optimization algorithms and uncertainty assessment? Then this PhD position at the Department of Human Geography and Spatial Planning
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, and dissemination through peer-reviewed publications and international conferences. This international and collaborative environment suits candidates who want to connect AI algorithms with real-world
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Mission: Support research to improve the management of renewable energies. Functions to be developed: Develop machine learning algorithms. Implement and validate computational models. Plan networks with
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will be expected to contribute intellectually and technically to ongoing and new research projects. This includes designing and implementing research-grade systems, developing algorithms and interfaces
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6 Jul 2026 Job Information Organisation/Company DI ENS Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions Application Deadline 30 Jul 2026
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, and machine learning. The successful candidate will support the Principal Investigator (PI) in conducting high-quality research through algorithm development, numerical simulations, and scientific
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) for GNSS-R and Signals of Opportunity (SoOP). Satellite scheduling (Tasking): Implement centralized (MILP) and decentralized (CBBA) scheduling algorithms. System optimization: Perform multi-objective
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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
nonlinear optimal control algorithms. Experimentally validating the proposed methods on a waste-sorting robotic platform. Contributing to mechanical and mechatronic design choices whenever they influence
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problems. These mathematical insights will subsequently be translated into computational algorithms for inversion, uncertainty quantification and experimental design. The research will initially focus