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Field
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produce syntheses. Develop data collection, processing, and analysis tools. Design, optimise, and evaluate deep learning models. Progressively supervise research assistants. Contribute to the writing
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29 Jul 2026 Job Information Organisation/Company UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE Department Department of Computer Engineering Research Field Computer science » Other Researcher Profile
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Mines-Télécom, profession P, Post-doctoral fellow, category II. Salary: €35,400 gross per year Selection process Application deadline: September 11, 2026 Provisional date for the selection panel’s
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to: establish an internationally visible research programme; lead interdisciplinary projects involving computer scientists, clinicians and biomedical researchers; supervise doctoral and postdoctoral researchers
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Language Processing, stream analytics, IoT infrastructures, and agricultural robotics can be combined to create human-in-the-loop conversational interfaces for smart agriculture. The goal is to allow farmers
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Inria, the French national research institute for the digital sciences | Grenoble, Rhone Alpes | France | 2 months ago
Access to vocational training Social security coverage under conditions From 3085 € (depending on experience and qualifications). Selection process Applications must be submitted online via the Inria
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natural language. MARIANNE is an Inria joint project-team with the I3S (Computer Science) laboratory of Université Côte d’Azur and CNRS. The team is composed of computer scientists, but it holds a strong
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the detection threshold and location of leakage flows for real case studies, using only pressure data;. 2) Sustainable operation of a WDS network (with pressure and flow regulation) to reduce background leakage
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processing via frugal and physics-informed AI, to the development of foundation models for generating effective physical or social interactions, navigation approaches fully exploiting the environment
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to design a completely new material to meet a need identified by clinicians, and to conduct its preclinical and clinical evaluation in-house, enabling a rapid and efficient process. For example, we can design