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develop your own research ideas and apply for third party funding Contributions to teaching within the Engineering Geology group are also expected Profile Masters degree in Computer Vision, Data Science
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Imaging Library and qim3D packages. Publish scientific articles within computer vision, data, and applications in collaboration with colleagues in physics and natural history. This role is part of
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intersection of computer vision, AI, and marine biology. This project aims at developing AI-based methods to transform underwater imagery from a simple visual record into a quantitative tool to measure species
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Job Description Are you passionate about computer vision, deep learning, and multimodal AI, and excited to shape how humans and machines communicate? Do you want to help build the next generation of
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interact with the three-dimensional world. We develop methods in computer vision, machine learning, and multimodal representation learning that enable autonomous systems to reason about objects, people
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feeds Solving electromagnetic integral equations: from high-order discretization to H-matrix compression H/F 156 / 754 vacancy Vacancy details Position description Category Mathematics, information
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PhD: 3-4 years full-time; 6-8 years part-time; Thesis of Max 80,000 words Apply now Research projects Self-funded projects Indicative Data Science: Extracting 3D Models of Cities from Unavailability
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merging for efficient semantic segmentation. In: Proceedings of the 21st International Conference on Computer Vision Theory and Applications (VISAPP), pp. 43–54. (2026). [2] Sassoon, J., Szczepanski, M
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for applicants to also have: Honours/Masters degree in either Engineering, Computer Science or IT related fields. Experience in Deep Learning, Computer Vision, and Python programming Interest in
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, including discrete and continuous decoding of hand and finger activity Develop egocentric computer-vision methods for understanding hands, objects, hand–object interactions, contacts, affordances, and task