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the university strategy tying together our mission, vision and values. You will: Manage and organise day‑to‑day research tasks identifying and resolving technical, logistical or practical challenges
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its ambitious strategy for 2031, “Liverpool 2031” ULMS is fulfilling its vision to be a globally significant Management School whose transformative research and teaching places it at the forefront
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We are seeking a full-time Postdoctoral Research Assistant to join Torr Vision Group at the Department of Engineering Science, central Oxford. The post is funded by Toyota Motor Europe and is fixed
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be considered. You should possess a PhD or DPhil (or near completion of) in Computer Vision or Machine Learning. You should have knowledge of approaches for areas related to efficient, reliable, and
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candidate: The ideal candidate will possess (or soon complete) a PhD in Theoretical Physics, Bio-Mathematics or Computational Biology. They will possess a strong interest in biological problems and have
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PhD/DPhil in Computer Vision or Machine Learning (or be near completion) and hold a strong publication record in this field. You must have sufficient theoretical and practical knowledge of methodologies
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Vision and Autonomous Systems group at the School of Computing Science. The candidate will be expected to contribute to the formulation and submission of research publications and research proposals and
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implementation of deep learning and computer vision frameworks across a range of research projects. This includes developing and training deep learning models for tasks such as scene understanding, object
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and modelling of nanoelectronic devices operating at cryogenic temperatures (4 Kelvin - 77 Kelvin) for energy efficient quantum computing (QC) and high-performance AI computing in data centres
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to have strong mathematical and programming skills (e.g. Python, C++), knowledge of computer vision, data mining and/or robotics tools (e.g. ROS/ROS2, OpenCV, scikit-learn, tensorflow, pytorch) and be able