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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 2 months ago
of the European Conference on Computer Vision (ECCV), pp. 349–367, 2024. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-10284 Requirements Skills/Qualifications Applicants should have
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asset. PhD in Computer Vision, Machine Perception, Artificial Intelligence, Robotics, Computer Science, Electrical Engineering, or a related field, with active research in computer vision, visual
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plant biology, as well as 80 microbiology majors in general or medical microbiology. Department programs are enhanced by diverse laboratory and field facilities, a student computer lab, media preparation
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. Applicants should have, or defended the viva of, a PhD in computer science, artificial intelligence, medical image analysis, biomedical engineering, or a closely related discipline. We are particularly
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. Plant science/ecology, especially related to forest ecosystems. Computer programming. Data analysis (machine learning, statistics, numerical analysis, time-series analysis, etc.). Quantitative methods in
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Learning has an open position for a doctoral student with a background and strong interest in deep generative learning and computer vision/remote sensing. The successful candidate will join a project funded
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the Times Higher Education. We deliver teaching across six undergraduate programmes: Physics; Chemistry; Electrical, Electronic & Computer Engineering; Chemical & Process Engineering; Mechanical Engineering
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. Knowledge, Skills & Abilities Knowledge of Cisco switches and Meraki wireless equipment. Employee must have good working knowledge of network architecture. In addition, knowledge of computer system analysis
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28.07.2026, Academic staff The Chair of Computer Architecture and Operating Systems (CAOS), led by Prof. Carsten Trinitis, invites applications for two fully funded PhD student positions
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computer software packages (e.g. Microsoft Office) for lab documentation, data entry and analysis. Proficiency in computational analyses, including running tools on the command line, python programming, R