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Kontogianni. Our research explores how intelligent systems can perceive, understand, and interact with the 3D world. We develop new methods in computer vision, machine learning, and multimodal 3D
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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 | about 2 months 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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/Qualifications Scientific Area: Machine Learning, Computer Vision. Admittance requirements: candidates must hold a Bachelor's degree in Computer Engineering, Computer Science, Electronics, Mathematics, Physics
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Science, Artificial Intelligence, Computer Vision, or a related field. Proficient in gait analysis and human data mining, capable of representing, extracting, and interpreting complex data sets for disease prediction
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research institute at the University of Girona focused on computer vision and robotics. It combines fundamental and applied research in areas such as underwater robotics, medical image analysis, and
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Learning and Computer Vision Objetives: This work aims to study, develop and implement computer vision methods to detect and classify areas with imaging alterations from MRI and CT scans
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École nationale des ponts et chaussées | Champs sur Marne, le de France | France | about 2 months ago
to develop Computer Vision algorithm and Interfaces for collaborations with Historians teams. Specifically, the research will focus on structured data with clear repeated patterns, such as characters in a text
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24 Oct 2025 Job Information Organisation/Company Computer Vision Center Research Field Computer science » Other Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country
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within a Research Infrastructure? Yes Offer Description Computer Vision and Generative AI Scientist Job Title: Computer Vision and Generative AI Scientist Job Ref: AICOS_Jobs_2025_12 Job Type: Full time