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Field
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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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are essential Additional qualifications Experience and courses in one or more subjects are valued: statistical machine learning, optimization, deep learning and signal processing. Rules governing PhD students
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computing platforms, containerization/orchestration tools for ML workflow management and scalability. Specialized knowledge in at least one domain: NLP, computer vision, reinforcement learning, or scientific
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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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, computer science, computer vision, machine learning, state estimation, perception, sensor fusion, autonomous systems, navigation and control Deep foundation in modern machine learning Solid programming skills in C
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their PhD. Project description The aim of this project is to deepen the fundamental understanding of machine learning through the lens of optimal transport theory, systems theory, and statistical physics
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Systems at The Technical Faculty of IT and Design invites applications for PhD stipends or integrated stipends in the field of Machine Learning for Intelligent Hearing Assistance in Complex Acoustic
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 11 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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selection criteria Knowledge and skills in the following areas: Robotics, computer science, computer vision, machine learning, state estimation, perception, sensor fusion, autonomous systems, navigation and
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DigitalMetal in the Faculty of Engineering, which conducts cutting edge research into cutting-edge technologies and AI to revolutionise metals manufacturing. Vision We are seeking a PhD student who is motivated