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for capturing temporal dependencies, but their dense and synchronous processing limits their suitability for embedded and low-latency scenarios Vaswani et al. (2017); Tay et al. (2020). This work investigates bio
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the ECHOES ERC project. The primary objective of this PhD is to develop and validate innovative post-processing techniques for the detection of exoplanets in coronagraphic images. Unlike traditional methods
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anomaly detection using advanced and optimized methods. • Literature review (image processing, deep learning, vision-language models, diffusion models, etc.). • Generative AI for creating reliable models
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-processing, the problems of aberrations and reverberations that generally pollute ultrasonic imaging (Bureau, 2003). Marine acoustic imagery is often faced with more deterministic multi-layer environments
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, preferably MRI. Experience with tumor segmentation, radiomics, or deep learning–based image processing is expected. Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow is required
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engines, energy systems, explosions, aerodynamics, fluid mechanics, signal and image processing, control systems, and robotics. The postdoctoral researcher will design and develop frugal artificial
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imaging, both in vitro and in vivo. Develop, optimize, and maintain image analysis scripts and tools using Matlab/Python/LLMs (segmentation, quantification, post-processing), in line with the needs
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Institut Lumière Matière ILM- UMR 5306 CNRS / Université Claude Bernard Lyon 1 | Villeurbanne, Rhone Alpes | France | 2 days ago
biomolecular processes. Most of the time the formation of biocondensates is reversible, but liquid-to-solid transitions resulting in irreversible aggregation that limits the availability of protein domains and
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of nearly 6000 exoplanets has revealed an extraordinary diversity in planetary systems. Direct imaging —particularly coronagraphy—has emerged as one of the most promising methods for detecting and
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