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develop AI- and deep learning–based computer vision tools to automatically identify and quantify intertidal organisms. Beyond computer vision, it will leverage machine learning for large-scale, data-driven
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 11 days ago
, virtual reality, biology and medicine. Using unique 3D & 4D capture facilities, machine learning, computer vision and advanced graphics, we are modeling humans and animals shape and behavior. In the Eye
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Job Description DTU Compute and the Pioneer Centre for Artificial Intelligence are excited to offer a PhD position for a talented and motivated student to join our lab at DTU led by Theodora
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9 Oct 2025 Job Information Organisation/Company École nationale des ponts et chaussées Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country
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, in partnership with major industry players (Les Éleveurs de porcs du Québec, Olymel, and CDPQ) and MAPAQ. PhD Objectives: This 4-year PhD project aims to develop and validate robust Computer vision
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The IOB PhD and MD-PhD Program on Translational Visual Neurosciences offers a unique opportunity to make breakthrough discoveries in the function or dysfunction of the eye and the visual brain, as
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The call for applications is now open for fully-funded PhDs in each of the European University Institute’s (EUI) academic departments. Approximately 130 grants are available for doctoral programmes
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(computer vision technologies). The interdisciplinary nature of this PhD will require the integration of environmental science, engineering, and community science methodologies. Supervisors: Primary
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institutional partner, the Netherlands Institute for Sound &Vision. The PhD candidate will be supervised by Elizabeth Buettner and Vincent Kuitenbrouwer (History Department). The daily supervision is in the hands
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This PhD project focuses on advancing computer vision and edge-AI technology for real-time marine monitoring. In collaboration with CEFAS (the Centre for Environment, Fisheries, and Aquaculture