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PhD in Computer Vision or a closely related field. We are seeking faculty in areas such as 3D computer vision, robotic vision, medical vision, and trustworthy and responsible AI. Candidates should have
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properties. The PhD will start with the analysis of the literature. We will then proceed by developing four main key aspects: Study the perceptual interaction and conflicts between vision and haptics when
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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
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computer vision models for forest-based 3D point cloud data. In recent years, large advances have been made for deep learning algorithms for high-resolution point clouds from small geographic areas. We seek
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, and on previous publications (if any) that are relevant to the project. The PhD programme A three year full-time study within the framework of the regular PhD programme (5+3 scheme). Qualifications
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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/reliability, and other emerging areas. Applicants must hold a PhD in Industrial Engineering or a closely related field. Applicants should also have a strong methodological background and an ability to conduct
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processing (computer vision & machine learning) Where to apply Website https://sede.uvigo.gal/public/catalog-detail/28364578 Requirements Research FieldEngineering » OtherEducation LevelMaster Degree
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FieldComputer science » OtherEducation LevelPhD or equivalent Skills/Qualifications CANDIDATE ’S PROFILE The candidate should possess a PhD in machine learning or computer vision and have a strong publication
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detailed data about forest ecosystems. To convert the captured data into meaningful information about the forest environment we seek a PhD candidate who wishes to advance state-of-the-art computer vision