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lead the development of multi-modal MRI foundation models that integrate imaging data and radiology reports. Using advanced deep learning techniques—including vision-language architectures (e.g., CLIP
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projects in computer vision research, with a particular emphasis on Spatial Intelligence, 3D Computer Vision, and 3D Generative AI. You should hold a relevant PhD/DPhil (or near completion*) in Computer
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launched our strategy to 2030 tying together our mission, vision and values. The University of Bristol aims to be a place where everyone feels able to be themselves and do their best in an inclusive working
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collaborative links thorough our collaborative network. The researcher should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely related field. You have an
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Change & Managing Atmospheric CO2 and Artificial Intelligence & Robotics. Set for completion in 2027, the EIT Campus in Littlemore will include more than 300,000 sq ft of research laboratories, educational
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The post holder should have a relevant PhD in Mechanical Engineering, preferably in positive displacement rotary machines or demonstrate that they are submitting PhD in the area. The post holder should have
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, the EPSRC programme ULTRAlGaN and the UKRI Innovation and Knowledge Centre REWIRE . This position benefits from the Chair in Emerging Technologies awarded to Professor Kuball by the Royal Academy
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postgraduate (PhD) experience in physics, Materials Science or Engineering, or be working towards one, or equivalent professional qualification/experience. Ideally with a good publication record. The position
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and implementing vision processing algorithms that enable robust robot tracking and autonomy. The ideal candidate will possess hands-on experience designing, implementing, and deploying computer vision
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United Kingdom Application Deadline 11 Nov 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job