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; multi-modal scene sensing and interpretation; pre-harvest fruit quality assessment; and perception algorithms for autonomous crop harvesting. We are particularly interested in applicants with experience
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techniques, or ontology alignment algorithms. - Solid grounding in software engineering practices: UML modelling, simulation, and testing under ISO/IEC/IEEE 29119. - Strong technical writing, documentation
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 months ago
Framework Programme? Not funded by a EU programme Reference Number 2026-10252 Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD thesis will take place in
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 3 months ago
Framework Programme? Not funded by a EU programme Reference Number 2026-10277 Is the Job related to staff position within a Research Infrastructure? No Offer Description Hired by EDF under a CIFRE PhD
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at the weekly seminars. Present results internally and at international venues; Qualifications PhD in Applied Mathematics or Computer Science (at the time of appointment), with strong research record in privacy
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methods to nuclear nonproliferation challenges. Develop, evaluate, and apply data-driven algorithms, selecting appropriate analytical approaches based on problem characteristics, available data, and mission
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• A strong foundation in mathematics, particularly in probability and optimization. • A PhD degree (or close to PhD completion) in engineering or management science degree, related
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or energy-efficient mission execution. Similarly, advanced control algorithms depend on reliable sensor integration and accurate dynamic models of the vehicle and propulsion system. The PhD project will
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14 Jul 2026 Job Information Organisation/Company CNRS Department Centre de Recherche en Informatique de Lens Research Field Computer science Mathematics » Algorithms Researcher Profile First Stage
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at the leading edge of scientific discovery and will therefore require methodological work, algorithm development, and technical developments. The ideal candidate will be proficient in R and/or Python, have strong