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Field
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different areas of AI (such as machine learning, computer vision, natural language processing, and bioinformatics), hosting powerful computing facilities internally and as part of the EU EuroHPC supercomputer
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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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into its latest Ryzen processors, unlocking new possibilities for on-device AI acceleration. This project aims to maximise the potential of AMD’s cutting-edge hardware for healthcare computer vision
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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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A Ph.D. position in computational pharmaceutical science is available at the Department of Physics, Chemistry and Pharmacy (FKF) at the University of Southern Denmark (SDU). The project is funded
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A PhD position in computational pharmaceutical science is available at the Department of Physics, Chemistry and Pharmacy (FKF) at the University of Southern Denmark (SDU). The project is funded by
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independently. Merits: Education or training in computer vision, machine learning, deep learning, bioinformatics, advanced microscopy, cell biology, or RNA biology. Education in mathematical statistics
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and mapping, light fields, extended reality (XR) technologies, sim-to-real, synthetic data generation, and advanced computer vision and machine learning techniques. In addition, the group works on
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 17 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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PhD Studentship available on the RAINZ CDT programme at The University of Manchester. Project Overview Abstract: Complex software-driven systems, including autonomous robotics, are typically