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Field
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computer vision method for medical image analysis principally in oncology or pathology, with a possible focus on generative AI, explainability, multi-modality. Candidate’s profile A good Bachelors degree
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The School of Computer Science at the University of Nottingham is pleased to invite applications for a fully funded PhD studentship in deployable, efficient, and trustworthy computer vision. This is
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specifically, do you want to perform cutting-edge research and develop novel advances in hyperbolic deep learning for computer vision? Then check out the vacancy below and apply for a PhD position in this
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Are you interested in challenging deep learning at its core? And specifically, do you want to perform cutting-edge research and develop novel advances in hyperbolic deep learning for computer vision
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University of São Paulo, Brazil. This position focuses on developing advanced computer vision methods and hardware setup for detecting and predicting plant diseases in soybean cultivation. About Us The Chair
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3 Dec 2025 Job Information Organisation/Company Computer Vision Center (CVC) Research Field Physics Mathematics Computer science Researcher Profile First Stage Researcher (R1) Positions PhD
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Mathematics (Inverse Problems), Computer Science (Machine Learning, Computer Vision, Efficient Algorithms and High-Performance Computing), and Physics (Image Formation Modelling). Your project is part of
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level in a field relevant to the doctoral subject. The applicant must also be able to demonstrate documented proficiency in English. You have knowledge and expertise in computer vision and/or medical
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essential: Previous study in computer vision, robotics, electronics or related disciplines An interest in biodiversity monitoring and public health Ability to program in Python, C++ or related languages
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parameters based on paired visible-light and X-ray images. The developed techniques will be validated on real data. As a candidate, you must have a strong background in machine learning and computer vision, as