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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | about 2 months ago
6 Jan 2026 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile Recognised Researcher (R2
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-time Hours Per Week 37,5 Offer Starting Date 1 Mar 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 2020-T1/TIC-19882 Is the Job related
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will use available and new data collected with active acoustics (sonar) in the Laurentian Great Lakes. Hydroacoustics is used worldwide in both marine and freshwater environments to estimate distribution
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Description of the workplace The position will be placed at the division of Computer Vision and Machine Learning at the Centre for Mathematical Sciences. The Centre for Mathematical Sciences is an
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Hospital, where in vivo acquisitions are performed. Work will be distributed between both sites depending on project needs. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7587-PEDBAR-009
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) • Big data pipelines, distributed computing, and geospatial data processing • Python, R, SQL/NoSQL, containerization (Docker), Kubernetes • API development and web-based analytics tools • Systems
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, or deployment at scale. A proven track record of high-quality research contributions published in top-tier machine learning conferences or journals. Proficiency in high-performance computing, distributed and
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with developing distributed programs on high-performance computing systems. Experience in data assimilation and machine learning. A track record of publications in well recognized journals. Special
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/transformative innovation in the sector. Our vision is to become an “EO innovation hub” connecting EO with a growing ecosystem of disruptive and transformative innovation such as AI, ML, quantum computing, edge
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University of California, Los Angeles | Los Angeles, California | United States | about 18 hours ago
of mathematical theory, statistical methods, and software in statistical genetics. This role is ideal for a researcher with strong quantitative and computational skills interested in foundational research exploring