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16 Apr 2026 Job Information Organisation/Company CNRS Department Laboratoire d'Informatique de Paris-Nord Research Field Computer science Mathematics » Algorithms Researcher Profile First Stage Researcher (R1) Application Deadline 6 May 2026 - 23:59 (UTC) Country France Type of...
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Computer Vision and Generative AI. The successful candidate will join a dynamic research environment and contribute to cutting-edge research at the intersection of computer vision, generative artificial
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A postdoctoral position is available to study dynamic processes in early development of insects and mammals. Successful candidates will join a collaborative and interdisciplinary venture in
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surface reconstruction and functionalization, enabling greener and more selective fluorination processes for industries such as batteries, pharmaceuticals, and agrochemicals. The scientific theme centers
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an expanded coherent and exascale-ready software stack featuring breakthrough research advances that meets the needs of complex parallel applications and the requirements of heterogeneous exascale architectures
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and conferences, and contribute to the preparation of manuscripts. Our research focuses on uncovering the proximate mechanisms underlying evolutionary changes in developmental and behavioural processes
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simple encoder. A possible approach will thus consist of extending this model to be able to map multiple contours, and to process data at multiple resolutions. We can also rely on other recent methods
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school, 1-2 workshops, 2 research pairs, and other parallel activities such as masterclasses, conferences at FRUMAM, etc.). It is organized alongside an environment program that invites collaborators, PhD
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peer-reviewed journal, the postdoc will be fully supported by Aline Muyle throughout the process, from data analysis to drafting and submission. Regular feedback and adjustments will be made based
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validated at CPPM. In parallel, the candidate will improve data reconstruction algorithms by using artificial intelligence techniques (e.g. neural networks), to optimize the separation between signal and