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16 Oct 2025 Job Information Organisation/Company IMT - Atlantique Research Field Engineering » Biomedical engineering Computer science » Cybernetics Researcher Profile Recognised Researcher (R2
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8 Oct 2025 Job Information Organisation/Company Universite de Montpellier Department Human Resources Research Field Mathematics Mathematics » Algorithms Mathematics » Applied mathematics Researcher
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Deadline 30 Jan 2026 - 00:00 (Africa/Abidjan) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? European Union / Next Generation EU Is the Job
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Postdoctoral Research Associate (f/m/d) for an Interdisciplinary Research Project on AI in Education
through the EU Research Framework Programme? Not funded by a EU programme Reference Number A242-25 Is the Job related to staff position within a Research Infrastructure? No Offer Description The University
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work hands-on with clinical data and build robust deep learning algorithms. We welcome applications from individuals with experience in: Experience developing deep learning models for real-time image
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data to design robust, efficient deep learning algorithms that maximize the information extracted from images and delivered to the robot. To be successful in this role, we are looking for candidates
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completion) in applied mathematics, computer science, or a closely related field. Strong background in numerical linear algebra, algorithm design, and parallel computing. Proficiency in programming languages
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environments, specifically Computer Vision, Machine learning algorithms and methods for rock characterization, fragmentation prediction, and mining optimization. Specific Requirements Good academic and
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to enable robust robot autonomy in complex, real-world environments. The post sits within our EPSRC Programme Grant in Embodied Intelligence and will advance the state of the art in localisation and scene
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into optimization frameworks. Study the theoretical foundations of randomized algorithms in the context of sparse tensor operations and apply them to real-world datasets. Parallel Computing: Explore opportunities