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physics, electrical engineering, image processing, computer vision, AI, machine learning, data science, computer science, applied mathematics, or in a similar field, or have completed at least 240 credits
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to demonstrate documented proficiency in English. You have knowledge and expertise in computer vision and/or medical image analysis, deep learning as well as mathematics. You have substantial expertise in
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 15 days ago
Website https://jobs.inria.fr/public/classic/en/offres/2026-09928 Requirements Skills/Qualifications Profile: - The candidate is completing a Master's or engineering’s degree in Computer Vision, Electrical
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conservators and imaging scientists to apply the developed methods to new artworks. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR8029-NACCHI-012/Default.aspx Requirements Research
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The Computer Vision Group is looking for an aspiring PhD to investigate multi-agentic AI, LLMs, and VLMs applied to agricultural sciences. Currently, established AI models often fail to generalize
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to demonstrate documented proficiency in English. You have knowledge and expertise in computer vision and/or medical image analysis, deep learning as well as mathematics. You have substantial expertise in
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Wing with Bio-inspired Active Morphing Wingtip" in the research group of Dr Jun Wu at the University of Birmingham. The research focuses on developing a small-scale wing prototype with a bio‑inspired
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 23 days ago
recruitment, Ph.D. is an advantage, · practice min. 1 year in developing and implementing computer vision or image processing algorithms, · proficiency in Python (and optionally C/C++), · familiarity with image
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science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning
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investigations. At the subcellular scale, laser scanning confocal fluorescence microscopy (CLSM) and spectral fluorescence lifetime imaging microscopy (spectral FLIM) will enable spatial mapping