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, Engineering, or a closely related discipline. You will be a materials or physical scientist with a strong track record in applying deep learning to computer vision problems, ideally within battery
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biologically-inspired deep learning and AI models (NeuroAI). The computational models we work with include vision deep learning models (including topographical, recurrent, or developmentally inspired models
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the benefit of humanity. GBI is part of the Ellison Institute of Technology, Oxford (EIT) and is led by founding Director Jason Chin. The vision of the Generative Biology Institute is to lay the foundations
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Role Description Research Centre & Department The Leverhulme Centre for Anthropocene Biodiversity (LCAB) is a research centre of academics from a wide range of disciplines collaborating to increase knowledge of how the relationship between humanity and the natural world is changing, and how we...
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identification of phases in metallic systems such as aluminium alloys or steels. You will have demonstrated expertise in applying machine learning and computer vision techniques for the analysis of scientific
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Expertise in one of the following areas applied to sports and/or human movement science: Computer Vision Match & Performance Analysis Machine Learning Ubiquitous Computing Virtual Reality Teaching experience
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-Doctoral Research Associate. Preference may be given to candidates with active interests in one or more of the following areas: colour vision, machine learning, computer vision, and virtual reality. The core
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successful candidate must have a PhD (or equivalent) in the field of computer vision or a closely related area. They will possess the skills and ability to conduct high-quality, innovative research and to
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7 Mar 2026 Job Information Organisation/Company LIVERPOOL JOHN MOORES UNIVERSITY Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application
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-Doctoral Research Associate with strong interest in Circular Economy, Robotics, AI and vision systems, sustainability, remanufacturing and recycling to work on an exciting project which aims to develop a